Oilfield chemicals are expensive and essential in oil and gas operations. Over 10% of the cost of drilling is apportioned to drilling fluids; therefore, there arises a need to substitute conventional chemicals with agro-wastes as additives in drilling operations. This paper appraises the use of oil palm empty fruit bunch (EFB), rice husk, walnut shell powder, coconut shell powder, groundnut husk, cassava mesocarp, orange mesocarp, corn cob, palm bunch and plantain peel as loss circulation materials, thinning agents, defoamers, filtration control additives, flocculants and deflocculants, dispersants, viscosifiers/thickeners, emulsifier and pH control agents in drilling mud formulations. Publications showed that 20g of rice husk to 350ml of mud gave a decrease in fluid loss and the addition of rice husk to a drilling mud increased its density and viscosity. Soda lignin was also extracted from black liquor of oil palm empty fruit bunch (EFB) by 20%v/v sulphuric acid and used as dispersant in drilling mud. The utilization of agro-wastes will reduce cost of production, maximize profit, and create job opportunities for sustainable development.

Web Usage Mining (WUM) is the important application of data mining techniques to discover interesting usage patterns from web access log. Analysing the web usage logs helps understand the user’s browsing behaviour. In our work we implement the K-means (KM), K-medoids and Fuzzy C-Means algorithms on web log data. These algorithms group the users with similar browsing behaviour into the same cluster. A single Algorithm may not be accurate for all types of data sets. We may not initially know which algorithm fits to our data set best. So we compared the clustering accuracy of these algorithms using different accuracy measures available and by analysis we conclude the algorithm that is best suited for web usage data

Salt stress is one of the most important abiotic stresses that adversely affect crop productivity and causes significant crop loss worldwide. The objective of this field study was to investigate the effect of different saline irrigation regimes and amelioratives on the yield performance of two wheat cultivars. Irrigation treatments were comprised of medium saline irrigation (6-7 dS/m) combinations at different growth stages along with excess gypsum and potash application, medium saline irrigation with intermittent fresh water applications, and high saline irrigation (9-12 dS/m) along with excess gypsum and potash application. The results revealed that the interactions between treatments and varieties were not significant for yield attributes, although there were distinct varietal differences in some cases. It is also evident that medium saline irrigation (7-8 dS/m) couple with intermittent fresh-water irrigation produce good yield (4.0-4.4 t/ha) of wheat cultivars. Saline irrigation at flowering -  sot-dough stage of growth does not bring any benefit to grain yield. High saline irrigation (9-12 dS/m) at CRI, late-tillering, and booting-heading stages along with excess gypsum and K-application produced reasonable yield. Medium saline irrigation (7-8 dS/m) at CRI, late-tillering, and booting-heading stages along with excess gypsum and K-application produces reasonable yield.

The power quality resources have continuously played an important role in the growth of human livings. PSO tuned PI controller are compared and a mark reduction in total harmonic reduction is with number of generations. PI Controller distributed Generation units that encompass a portion of an electric power distribution system and may rely on different energy sources. Functionally, the PI controller is required to provide adequate levels and quality of power to meet load demands. The issue of power quality is significant as it directly affects the characteristics of the PI controller operation. This problem can be defined as an occurrence of short to long periods of inadequate or unstable power outputs by the PI controller. In a stand-alone operation mode, the system voltage and frequency must be established by the PI controller; otherwise the system will collapse due to the variety in the PI controller component characteristics. When more accuracy is required, this rule should be used. Simulation and experimental results are provided for both numerical statistical techniques Simpson’s such as under the same atmospheric condition. From the simulation and experimental results, the particle swarm optimization (PSO) based maximum power point tracking (MPPT) for PV system is presented which is interrelated with other control schemes such as synchronization with grid and current control finding lower error event as compare with PVMPPT with same saturated voltage which can deliver more power than the conventional MPPT Technique. In our proposed scheme is to define the global and local best fitness for the STATCOM in order to improve power quality and minimize power losses in the grid with PI controller and RLC branch, using Particle Swarm Optimization algorithm and we also comparing with base Genetic algorithm which implement programming and Simulink design in MATLAB tool.

In todays digital world, teacher face lack of attention in student as a major challenge in the learning process. With every student having own mobile device, Student demand interactive tools and teaching method. Upcoming Technology AR has significant potential to transform the way content is taught in classes. This paper covers the Introduction of AR followed with, Advantage and disadvantage of AR. This Paper gives a complete overview of what would happen if AR will use in Education and where it can be used. It further covers the benefits of AR and tells how it is used in education. It further introduces Stakeholder such as (Student, Teacher, Developer and Platform builder) it shows what problems they face currently and how AR would benefit them. Then it tells which are the different platforms available to build AR, followed by the problem which is faced by the developer and conclusion