PERFORMANCE ANALYSIS OF SUPERCHARGING OF TWO WHEELERS

ABSTRACT The objective of this work is to increase the torque and power of the two wheeler by supercharging the vehicle. For this purpose LML freedom 125 cc is analysed for the work and certain parameters like torque, power, and specific fuel consumption vs rpm are calculated. The data calculated is used in software Engine Analyser for analysis purpose together with the data of supercharger. It can be seen that power and torque of the engine increases from 7 to 11 KW and 9 to 13 NM at 7500 and 9000 RPM respectively

How Farmers Benefit from Integration of EO, Meteorological, Positioning and Field Data in an Analytics Engine – The AGRI-GIS Example of S Odisha, India

Today, space-based EO data, meteorological observations and positioning information, integrated with ground data and maps, plays an important role in bringing logical decision-making, intelligence and wisdom in society - even at grass-root level. World over, society is generating, referencing, archiving and using vast amount of time-stamped geographically referenced data sets – enabling the development of integrated solutions that benefits individual citizens, societies, nations and humanity, in general. Because of this large amounts of spatial data availability the science of Spatial Analytics is becoming highly prevalent and relevant.   The Centre for Spatial Analytics and Advanced GIS (C-SAG; www.csag.res.in) is developing an Agri-GIS - a suite of Spatial Analytics solutions based on EO images, meteorological data, Positioning data, various maps and different field data sets. The focus of the Agri-GIS is to address Smallholder Farmers – farm level aggregation and dis-aggregation of crop and socio-economic parameters; assess crop suitability of beneficiary land; assess crop-water model; help farmers on nutrition management; provide information on available production technologies, financing options, insurance options, access to inputs and market access etc. The strength of the C-SAG Agri-GIS model stems on a “single, common, standardized, integrated robust and reliable” multi-layered (about 304 parameters), spatially referenced and geo-tagged database – modelling for individual farmer's social, economic and natural resources queries. Out of the 304 parameters, space based inputs provide the critical 25% - mainly from near real-time EO images of various resolutions/receptivity and meteorological data. Another 20-30% of field observations are based on space-based Positioning - the rest are geo-tagged tables and records. Agri-GIS is developed in 613 villages of S Odisha in India and covers almost 80,000 farmers.   This Agri-GIS is an end-to-end solution that combines ground-, space-based EO/meteorological/positioning data into a GIS model to address specific farmer requirements at bettering his crop production and yield and also his economic condition by increased income. The paper will address how assessment of farmer’s needs of information in the various farming communities in Odisha state was taken up, the chain of Spatial Analytics and the final deliverables of 5 Farmer Advisories in each crop season. The paper will also highlight the partnerships of C-SAG, Tata Trusts and the farming communities and how a good working relationships between various stakeholders have been developed for the projec

Cells of the human intestinal tract mapped across space and time

The cellular landscape of the human intestinal tract is dynamic throughout life, developing in utero and changing in response to functional requirements and environmental exposures. Here, to comprehensively map cell lineages, we use single-cell RNA sequencing and antigen receptor analysis of almost half a million cells from up to 5 anatomical regions in the developing and up to 11 distinct anatomical regions in the healthy paediatric and adult human gut. This reveals the existence of transcriptionally distinct BEST4 epithelial cells throughout the human intestinal tract. Furthermore, we implicate IgG sensing as a function of intestinal tuft cells. We describe neural cell populations in the developing enteric nervous system, and predict cell-type-specific expression of genes associated with Hirschsprung’s disease. Finally, using a systems approach, we identify key cell players that drive the formation of secondary lymphoid tissue in early human development. We show that these programs are adopted in inflammatory bowel disease to recruit and retain immune cells at the site of inflammation. This catalogue of intestinal cells will provide new insights into cellular programs in development, homeostasis and disease

Elliptic flow of charged particles in Pb-Pb collisions at 2.76 TeV

We report the first measurement of charged particle elliptic flow in Pb-Pb collisions at 2.76 TeV with the ALICE detector at the CERN Large Hadron Collider. The measurement is performed in the central pseudorapidity region (|$\eta$|<0.8) and transverse momentum range 0.2< $p_{\rm T}$< 5.0 GeV/$c$. The elliptic flow signal v$_2$, measured using the 4-particle correlation method, averaged over transverse momentum and pseudorapidity is 0.087 $\pm$ 0.002 (stat) $\pm$ 0.004 (syst) in the 40-50% centrality class. The differential elliptic flow v$_2(p_{\rm T})$ reaches a maximum of 0.2 near $p_{\rm T}$ = 3 GeV/$c$. Compared to RHIC Au-Au collisions at 200 GeV, the elliptic flow increases by about 30%. Some hydrodynamic model predictions which include viscous corrections are in agreement with the observed increase.Comment: 10 pages, 4 captioned figures, published version, figures at http://aliceinfo.cern.ch/ArtSubmission/node/389

Particle-yield modification in jet-like azimuthal di-hadron correlations in Pb-Pb collisions at sNN\sqrt{s_{\rm NN}} = 2.76 TeV

The yield of charged particles associated with high-$p_{\rm T}$ trigger particles ($8 < p_{\rm T} < 15$ GeV/$c$) is measured with the ALICE detector in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76 TeV relative to proton-proton collisions at the same energy. The conditional per-trigger yields are extracted from the narrow jet-like correlation peaks in azimuthal di-hadron correlations. In the 5% most central collisions, we observe that the yield of associated charged particles with transverse momenta $p_{\rm T}> 3$ GeV/$c$ on the away-side drops to about 60% of that observed in pp collisions, while on the near-side a moderate enhancement of 20-30% is found.Comment: 15 pages, 2 captioned figures, 1 table, authors from page 10, published version, figures at http://aliceinfo.cern.ch/ArtSubmission/node/350

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper we discuss the SW/HW co-designed solution for high-performance distributed training of large-scale DLRMs. We introduce a high-performance scalable software stack based on PyTorch and pair it with the new evolution of Zion platform, namely ZionEX. We demonstrate the capability to train very large DLRMs with up to 12 Trillion parameters and show that we can attain 40X speedup in terms of time to solution over previous systems. We achieve this by (i) designing the ZionEX platform with dedicated scale-out network, provisioned with high bandwidth, optimal topology and efficient transport (ii) implementing an optimized PyTorch-based training stack supporting both model and data parallelism (iii) developing sharding algorithms capable of hierarchical partitioning of the embedding tables along row, column dimensions and load balancing them across multiple workers; (iv) adding high-performance core operators while retaining flexibility to support optimizers with fully deterministic updates (v) leveraging reduced precision communications, multi-level memory hierarchy (HBM+DDR+SSD) and pipelining. Furthermore, we develop and briefly comment on distributed data ingestion and other supporting services that are required for the robust and efficient end-to-end training in production environments

A bibliography of parasites and diseases of marine and freshwater fishes of India

With the increasing demand for fish as human food, aquaculture both in freshwater and salt water is rapidly developing over the world. In the developing countries, fishes are being raised as food. In many countries fish farming is a very important economic activity. The most recent branch, mariculture, has shown advances in raising fishes in brackish, estuarine and bay waters, in which marine, anadromous and catadromous fishes have successfully been grown and maintained