International Research Journal on Advanced Science Hub

Fog computing involves processing at network edge before the data is moved to core network or centralized clouds. Especially with grow of billions of     IoT devices, Fog computing processing at network edge has many advantages in the form of efficient data processing, ability to react the event quickly, reduction in networking bandwidth and reduction in storage size at cloud etc. The advantages come with a risk in terms of data security and information leakage. With computing at network edge, the breach on privacy of data generator is also a severe risk. These works studies the existing solutions for information protection in and secure information processing as well as load balancing at network edges of Fog computing network. The goal of this work is to identify the open areas in information protection and load balancing on Fog computing network.

Accountable for performing important maintenance checks and changes in a high-stakes, high-pressure environment, today’s pit crew teamsare termed to be of equal importance as the driver. Assisting the driver at key moments throughout the race, which could be as many as 500 rounds around the circuit, the average pit stop happens over the course of a swift 12-seconds. There’s no room for error as the pit crew’s precision, timing and decision making is crucial to the safety and resulting performance or the driver and the team as an overall. In a race where every microsecond counts, a wrong decision or a mistake by the crew members for a pit stop will certainly change the result of the race. The crew (and the team) makes the decisions based on vehicle and driver parameters such as individual tire pressure, Fuel level, Driver heartbeat/pulse and also the driver’s body temperature. For this project, Team Xelerate plans to implement an on-board system on a moving vehicle that will read, measure and calculate all the required vehicle parameters using sensors. Parameters such as Engine/Shaft RPM, Velocity, Instantaneous Acceleration/Deceleration and many more shall be fed to a Display module which would be mounted on the steering for better access. Also, by incorporating IOT, all necessary parameters (Vehicle and Driver) would be sent to a secure remote server which would be accessible to all crew members in the pit.

Solanum khasianum Clarke. (Solanaceae), an important medicinal plant used to treat several diseases. Leaf, root, fruit and bark extracts of S. khasianum and the green synthesized silver nanoparticles were assayed for its antibacterial activity against gram positive and gram negative bacteria, using agar well diffusion method. Among all the solvent extracts tested, methanolic extracts were found to possess elevated activity. The optimal antibacterial activity is exhibited by silver nanoparticles against Pseudomonas flourescens with a maximal zone of inhibition (22mm). In the present study, the efficacy of green synthesized silver nanoparticles over the different plant extracts of S. khasianum against different bacterial strains was reported. This investigation discloses the potentiality of using silver nanoparticles as an antibacterial agent.

Entrepreneurs should be acclimating and take on themselves to upturns and downturns in market. Entrepreneurs must be opportunists. Entrepreneurship has a key role in economic development and brings remarkable changes in the economy of a nation. The aim of this paper is to show the literature review of the significant articles in the reference of entrepreneurial education and which are published between 2015 to 2020. A scan of literature review reveals some challenges and opportunities an entrepreneur face. Entrepreneurs find out the possibilities of realizing the ventures, collect and merge the needed resources, a needed plan and do things according to time and in a flexible manner. In this study, an effort has been made to study those elements that affect development of entrepreneurship in the wake of changing the business structure in Indian perspective.

Resnet architecture was used to create a user-friendly drug analyser web application. This architecture is a transfer learning method that was used as a convolutional neural network in this case, and it will be trained on a collection of images that contain labels for each drug individually. The activation functions used within these neural networks are ReLU (Rectified Linear Unit) and softmax activation functions, as well as categorical cross-entropy as a loss function. Stochastic gradient descent (adam optimizer) was used to change the weights for each input on each epoch. Finally, after receiving a traditional model, it was merged with a web application API such as flask in Python. After that, the web application was deployed to cloud platforms such as Heroku.

People speak greatly about the electronic gadgets in the past, present and in future. Nobody spells that it is secure or insecure in terms of safety. More inventions are carrying into the society but in behind there are lot of pitfalls which could damage personal or organizations from upper level to ground level. It is very important to build secure systems to have safe usage of electronic gadgets. USA government is spending millions of dollars on secure data because in future their total dependency is on data. Technology is growing and the hackers (persons) who damage or steal our information and bank balances are similarly increase in parallel. Bug bounty hunting is the new technique that is enforced for finding the software security in the newly build software or year’s long existing software. New bug bounty methodology teaches us how to identify our software is secure or not and what the flaws or bugs in the software. NB2M mechanism gives the sources of cyber-attacks and study preserved producers for cyber-crimes. This process may be benefitted for organization as well as software professional who can gain lump sum dollars. It is better go for one to two years for bug bounty.   

The main objective of our project is to re-design the hydraulic manifold and fabricate the prototype using 3D printing to reduce weight, improve flow performance and reduce the cost. The simple existing industrial manifold block is designed using CAD software. Then analysis of the flow field characteristics and change in pressure of right-angled flow passage of supply line and return line is carried out in the typical hydraulic manifold block which is made from the conventional manufacturing process. Then to redesign the industrial manifold effectively with angled flow passage and analyze the optimization level. This modified design mainly reduces the major loss in the fluid called pressure loss and reduces the velocity of fluid during the change in direction of flow. As we are in the era of industry 4.0, the fabrication of this product is to be made with the currently emerging technology called additive manufacturing. Another reason to go with AM is because of the complex structure of this manifold. It will significantly reduce the production time and machining cost. Our project comes up with producing the 3D printed prototype of the modified manifold from the industry.For this analysis process, we have selected the materials Aluminium alloy (AL 6061-T6) and Stainless steel (SS-316), because of their high strength to weight ratio and low material cost. Hence it will reduce the overall production cost and it will greatly reduce the weight.

This write-up describes some thoughts on how the electric vehicle can be operated on Natural Energy as well as Artificial Energy. During the day hours too long efforts can be made by putting solar panels and save maximum power to run the electric vehicle; even at night time driving it can be operated over a battery. The fundamentals of both the systems are deeply elaborated in the successive paragraphs. We have studied; analysed and further thought process concluded us that let’s use maximum solar energy during peak periods and for night time run the vehicle on battery. All the basic components related with electrical vehicle batteries are elaborated in the write-up. The further research on saving the solar energy in battery is in progress.

A pot culture experiment entitled “soil properties of medium land rice (Oryza sativa L.) in inorganic nitrogenous fertilizers on fym combination in yield.” was conducted at Institute of Agricultural Sciences farm of Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar Odisha on sandy loam soil during kharif 2018-2019. The experiment was planned in a Randomized Block Design with three replications and comprised eight treatment such as T1-Control, T2- 50% Recommended dose of fertilizer (RDF),T3-50% RDF + 5t FYM per ha-1, T4-75% RDF, T5-75% RDF + 5t FYM per ha-1, T6- 100%RDF ( NPK 80:40:40), T7-100% RDF + 5t FYM per ha1and  T8-150% RDF. Similar inclination were observed on yields of grain, straw and values of different growth parameters at different level of nitrogen and their combination with 5t FYM per ha-1 but at 150 % RDF level, the values of different parameters including grain and straw yield were significantly low as compared to the treatment that received 100% RDF + 5t FYM per ha-1. Grain and straw analysis recorded higher N, P, K content by use of 100% RDF + 5t FYM per ha-1 as compared with 100% and 150% RDF alone. physio-chemical conditions of soil like bulk density, porosity, organic carbon, available macro nutrients (N, P,K) were improved with the joint application of 100% RDF as inorganic source with 5t FYM per ha-1as organic source. In this present study it can be resolved that in Odisha soil (sandy loam) joint application of 100 % mineral nitrogen and 5t FYM per ha-1 enhanced availability of macro nutrients, better physical environment and produced significantly low yields with application of 150% RDF as compared to treatment combinations with inorganic fertilizer and FYM and almost equal yield with the recommended dose of nitrogen (100% RDF) only in mineral form.

In this article, we formulate an entropy stable scheme for nonlinear degenerate convection diffusion equation with viscous terms in non-conservative formulations. Here in we extend the S.Jerez idea of first order entropy stable convection scheme for semi discrete scheme in to fourth order scheme using finite central difference scheme. Major advantage of this work is fourth order accuracy of the solution and fixed numerical diffusion term which can provide the non- oscillatory solution. Finally, few computational analyses are given to shown the accuracy of entropy stable scheme for degenerate parabolic equations

Today, the world faces unprecedented challenges in social, environmental, and economic dimensions, in which industrial design has shown an important contribution with solutions that provide positive answers regarding such problems. In particular, due to the fast-depleting resources, our dependence on trees has increased which is hampering our environment drastically. Our world confronts a moment of crises, and sustainable development of manufacturing industries provides us with challenges as well as opportunities. In this context, the use of natural fiber composites, produced in developing countries, has presented several social, environmental, and economic advantages to designing ''green'' substitutes. So Technical properties such as Mechanical and Physical properties are to be conduct and test results will be to calculate and evaluation of the composite property of natural composite fibers done in this project