Financial technology in the automobile industry

This research targets financial technology in the automobile industry. It is a prediction technology to be used in future for money transferring techniques. The aim of the research is to notify “how the blockchain is planned to make the transactions secure and reduce the transactional costs.” Observing the participants’ opinions, the research will summarise their effectiveness based on current financial methods. To change this lack of information, the researcher proposes to conduct a case study on a small business. Using a mixture of interviews and participant observation, the researcher intends to ascertain whether the most effective implementation methodology was used to implement block chain technology into the small automobile business. To clarify further, investigation into why it was done this particular way and the ramifications of that choice will be conducted. The results from the interviews will be analysed in correlation with planning and preparation, implementation and integration of the new system, training, customer expectations and changes in management. The objective of the research is to analysis the current strategy used by the automobile dealers in New Zealand for their business and the procedures they use for online transactions. Introducing blockchain technology in the automobile industry will help the business to be more efficient and effective and it will lead to centralization of car dealers and customers in New Zealand under one head

Bioinventory And The Associated Ecosystem Developed Inside The Mandhip Khol Cave Complex

For any fauna, the unusual and extreme geophysical characteristics of any subterranean cave demand many biological adjustments to establish a population in it. In the present study, the bioinventory of Mandhip Khol cave Complex has been done. This cave complex has two identical subterranean passages; one wet passage, and another dry passage, so it is interesting to know the types of fauna it harbours. The tabulated results indicated that both the passages harbour mostly the same species, except some extra accidental visitors were found in the wet passage which enters the cave when the water level increases in it. Further, a bat species has been noted, which is new for the caves of Chhattisgarh, India

Isolation of Antimicrobial Compounds using Marine Bacteria from Nagapattinam Coast

At present situation in the pharma field, only some numbers of effective drugs are exist. The emergence of multidrug resistant pathogens must be necessary of novel antibiotics. Currently opportunistic pathogens like V.cholerae, S.typhi were resistant against vancomycin, ampicillin, methicillin, tetracycline etc. Marine resources are hopeful environment for new drug discoveries. Especially, marine microbes are played main role on discovery of antibiotics. In this study, marine sediment samples were used for isolation of marine bacterial colonies from Nagapattinam coast. Distinct colonies noted as DC and DN were isolated using nutrient agar and actinomycetes isolation agar and morphology, biochemical properties were performed. Antimicrobial susceptibility test were done against common clinical pathogens and multidrug resistant (MDR) pathogens. Among isolated colonies, DC5 has better bactericidal activity. It showed average results against all opportunistic pathogens. Used ethyl acetate extraction, it has more functional groups and analysed by Fourier Transformed Infrared spectroscopy (FT-IR)

Synthesis and Structural Analysis of Nanocrystalline MnFe2O4

AbstractNanocrystalline form of manganese ferrite (MnFe2O4) has been synthesized by simple sol-gel auto combustion method using citric acid as chelating agent. The obtained nanocrystalline powders of manganese ferrite were subjected to structural and magnetic measurements. Temperature dependent magnetization was also carried out for the single phase nanocrystalline manganese ferrite and the results have been discussed in detail

Challenges and Approaches in Green Data Center

Cloud computing is a fast evolving area of information and communication technologies (ICTs)that hascreated new environmental issues. Cloud computing technologies have a widerange ofapplications due to theirscalability, dependability, and trustworthiness, as well as their abilityto deliver high performance at a low cost.The cloud computing revolution is altering modern networking, offering both economic and technologicalbenefits as well as potential environmental benefits. These innovations have the potential to improve energyefficiency while simultaneously reducing carbon emissions and e-waste. These traits have thepotential tomakecloud computing more environmentally friendly. Green cloud computing is the science and practise of properlydesigning, manufacturing, using, and disposing of computers, servers,and associated subsystems like displays,printers, storage devices, and networking and communication systems while minimising or eliminatingenvironmental impact. The most significant reason for a data centre review is to understand capacity,dependability, durability,algorithmic efficiency, resource allocation, virtualization, power management, andother elements. The green cloud design aims to reduce data centre power consumption. The main advantageof green cloud computing architecture is that it ensures real-time performance whilereducing IDC’s energyconsumption (internet data center).This paper analyzed the difficultiesfaced by data centers such as capacityplanning and management, up-time and performance maintenance, energy efficiency and cost cutting, realtime monitoring and reporting. The solution for the identified problems with DCIM system is also presentedin this paper. Finally, it discusses the market report’s coverage of green data centres, green computingprinciples, andfuture research challenges. This comprehensive green cloud analysis study will assist nativegreen research fellows in learning about green cloud concerns and understanding future research challengesin the field

Optimizing Pre-Trained Models of Deep Learning for Identification of Plant Disease

The Plant diseases should be identified early to prevent the economic loss of farmers and ensure the availability of food for humans. The plant disease identification can be automated by using the Artificial Intelligence techniques. Researchers have proposed many deep learning methods for identifying plant diseases. Deep learning models use an increased number of parameters, it requires higher computational power, training a deep learning model from start requires more time. In this article we utilized transfer learning along with fine tuning for identification of plant diseases. Cassava plant disease dataset was utilised for training. and evaluate the suggested model. The performance accuracy achieved by Resnet50 is 73.12 % and fine-tuned Resnet50 is 80.84 %. The fine-tuned model achieves greater accuracy with a lesser amount of parameters Impact Statement–Artificial Intelligence is evolving all around the world. The AI techniques are used to automate the process of plant disease identification. Traditional methods are not accurate and time consuming. To help the farmers in diagnosing plant disease and stop economic loss to them, we employ deep learning models to do the work. The pretrained models predict the plant diseases, further we fine-tune them in order to get high accuracy. Early identification of the diseases accurately will avoid loss and improve productivity of the crops

Growth and PhysioChemical Properties of Second-Order Nonlinear Optical L-Threonine Single Crystals

The present aim of the paper is to grow and to study the various properties of L-threonine amino acid single crystal in various aspects. Crystal growth of L-threonine single crystals has been carried out with the help of crystallization kinetics. pH and deuteration effects on the properties of the grown crystals have been studied and the results presented in a lucid manner. The various second-order NLO parameters were evaluated using anharmonic oscillator model. Particle and ion irradiation effects on structural, optical, and surface properties of the crystals have also been studied in detail