69 research outputs found

    LiDAR Object Detection Utilizing Existing CNNs for Smart Cities

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    As governments and private companies alike race to achieve the vision of a smart city — where artificial intelligence (AI) technology is used to enable self-driving cars, cashier-less shopping experiences and connected home devices from thermostats to robot vacuum cleaners — advancements are being made in both software and hardware to enable increasingly real-time, accurate inference at the edge. One hardware solution adopted for this purpose is the LiDAR sensor, which utilizes infrared lasers to accurately detect and map its surroundings in 3D. On the software side, developers have turned to artificial neural networks to make predictions and recommendations with high accuracy. These neural networks have the potential, particularly run on purpose-built hardware such as GPUs and TPUs, to make inferences in near real-time, allowing the AI models to serve as a usable interface for real-world interactions with other AI-powered devices, or with human users. This paper aims to example the joint use of LiDAR sensors and AI to understand its importance in smart city environments

    formulation and evaluation of solid dispersions of nabumetone

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    Solid  dispersions  are  an  effective  method  of  increasing  the  solubility  and bioavailability of  poorly  soluble  drugs.  In  the  present  study  it  is  aimed  at  to  enhance  solubility  of Nabumetone  a poorly  soluble  anti-inflammatory  drug  by  solid  dispersion  technique  by employing  solvent  evaporation  technique  using  PEG  4000  And PEG 6000 as  carriers.  The  formulations  were  prepared  in  ratios  of  1:1, 1:2 , 1:3, 1:4  and  characterized  by  FTIR,  XRD,  and  dissolution  studies. The  prepared  solid  dispersions  showed  excellent  improvement  of drug  solubility  due  to  mean  drug  particle  size  reduction which  lead  to  increase  drug  dissolution  and  bioavailabilit

    Stock culture maintenance and mass culture of micro algae

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    Marine micro algae are found in marine systems living both in water as well as in sediment have an important role in ecological pyramid of the marine ecosystem. These are the base of the trophic web and provide energy for all successive trophic level in the marine eco system. These are single celled, chlorophyll bearing organisms uses solar energy and nutrients from water to convert it into organic matter. Out of 8 Lakhs species of different genera of algae available from marine ecosystem very few have been tapped for their use as availability of biomedical compounds and also as feed in different finfish, shellfish and molluscan hatchery. Their role is also very much vital and critical in a successful mariculture hatchery management. An alga serves as a feed for other zooplanktons and also added to the larval rearing tanks to improve quality of water as green water technology. Among microalgae, flagellate and diatom species are cultured in hatcheries in suitably treated seawater enriched with nutrients such as nitrates, phosphates, essential trace elements and vitamins. To support growth of high densities of larvae and juveniles reared in the hatchery high density of micro algal culture is essential. Considering the importance of marine algal culture, different indoor laboratories and outdoor mass culture systems being carried out in various hatcheries in world like Japan, Taiwan, China, Philippines, Indonesia as well as India

    Maximizing the self-consumption of Solar-PV using Battery Energy Storage System in Samso-Marina

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    Tensor network variational optimizations for real-time dynamics: application to the time-evolution of spin liquids

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    Within the Projected Entangled Pair State (PEPS) tensor network formalism, a simple update (SU) method has been used to investigate the time evolution of a two-dimensional U(1) critical spin-1/2 spin liquid under Hamiltonian quench [Phys. Rev. B 106, 195132 (2022)]. Here we introduce two different variational frameworks to describe the time dynamics of SU(2)-symmetric translationally-invariant PEPS, aiming to improve the accuracy. In one approach, after using a Trotter-Suzuki decomposition of the time evolution operator in term of two-site elementary gates, one considers a single bond embedded in an environment approximated by a Corner Transfer Matrix Renormalization Group (CTMRG). A variational update of the two tensors on the bond is performed under the application of the elementary gate and then, after symmetrization of the site tensors, the environment is updated. In the second approach, a cluster optimization is performed on a finite (periodic) cluster, maximizing the overlap of the exact time-evolved state with a symmetric finite-size PEPS ansatz. Observables are then computed on the infinite lattice contracting the infinite-PEPS (iPEPS) by CTMRG. We show that the variational schemes outperform the SU method and remain accurate over a significant time interval before hitting the entanglement barrier. Studying the spectrum of the transfer matrix, we found that the asymptotic correlations are very well preserved under time evolution, including the critical nature of the singlet correlations, as expected from the Lieb-Robinson (LR) bound theorem. We also compute the time-evolution of the short distance spin-spin correlations and estimate the LR velocity

    Impact of Demand Side Management in Active Distribution Networks

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    Selection of candidate species for cage culture in India

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    In recent years, cage culture has emerged as one of the most viable method of sea farming. This aquaculture farming system offers the farmer a chance to utilize existing water resources, which is not used for other purposes. At present, situations like increase in consumption of fish, decline in wild stock and poor return from other culture systems paved strong interest for the fish production through cage culture among the fish farmers. Selection of fish species is playing major role in cage culture operation. Therefore, while selecting the species the biological as well as economical criteria should be taken into consideration, which includes available source of fish seed either from wild or hatcheries, seasonal abundance of the fish seeds in wild, acceptance to artificial feeds, consumer acceptance to the fish, economic value of the fish in local and international market, regional preference, compatibility of the species to culture in various system, resistance to disease and stress, ability to breed and produce the seed in confined environments. By considering the above criteria, a variety of commercially important marine fish species are highly found suitable for cage farming. The important candidate species from different parts of the world includes cobia (Rachycentron canadum), seabass (Lates calcarifer), snappers (Lutjanus sp.), pompanos (Trachinotus sp.) and groupers (Epinephelus sp.), etc. Commercial level seed production technology for majority of these fishes has been developed in many of the South East Asian countries. In India, the seed production of cobia, silver pompano, seabass and orange spotted grouper has been achieved successfully by different fisheries research institutions

    Metadata on my mind: Automating troubleshooting to increase discovery of collections

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    Finfish seed collection in Krishna and West Godavari Districts, Andhra Pradesh

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    Marine finfish culture using locally available wild seed is gaining importance in Andhra Pradesh. Fishes such as Asian seabass, milk fish and different species of mullets are the major species available in sufficient quantities in the wild. Understanding the availability of the wild seeds in the backwaters of Krishna and West Godavari districts, aquaculture of those fishes has been established in most of the coastal districts of Andhra Pradesh. Part- time seed collection operations are being practiced by fishermen in several fishing villages from these districts. Traditional methods of fish seed collection employed are based on tidal patterns. There are two major methods of seed collection depending on the location. The fish seeds are collected using scoop nets during low tide time from the water pools in the mangroves. The fish seeds are also collected with drag net or seine net in the backwaters and sea shore areas. During high tide, nets are installed with poles, near periphery of the estuary. The fish seeds get collected in the net during low tide and when water recedes further they are collected by the fishermen. The seed collection is mainly practiced during March to May for Asian seabass, March to July for milk fish and throughout the year for mullet. Large scale seed collection is being followed for Asian sea bass and milk fish
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