Sri Shakthi SIET Journals
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Search Engine Optimization – Study and Analysis
Get PDFSearch Engine Optimization is about understanding what people are searching for online, the answers they are seeking, the words they are using, and the type of content they wish to consume. Knowing the answers to these questions will allow you to connect to the people who are searching online for the solutions you offer. Building the onsite and offsite page tactics will help us to build a better site that ranks higher in search and also with better click through rates. Understanding what the users or consumers need and producing the same to them is one of the major factor in the Digital Marketing. Using Analytics tool we can analyze how our site is doing well or not with our intended action will help us to understand our audience better
Experimental Investigation on performance of silica fumes as a soil stabilizer for oil contaminated strata
Get PDFOil leakage is an environmental issue unnoticed in the present time. The problem of oil leakage and oil contamination is main concern for petroleum harvesting countries. Oil contamination in soil creates health issues in the area surrounding it. The nutrients in the soil get reduced significantly due to oil contamination which makes the land not suitable for cultivation. The oil produces hydrocarbons which makes the civil structures weak and out at risk. The most harmful effects of oil contamination are excessive settlement of structures, breakage of underground pipes, etc. In this project, we are trying to study the effects of oil contamination in the soil and also to find a sustainable solution for it. The soil is contaminated in the percentage from 0 to 20% and the tests on index and engineering properties have been conducted to find the effect of engine oil. In order to stabilize the oil contaminated soil, we use silica fumes as a stabilizing agent. The optimum percentage of silica fume is chosen based on the tests of Index and Engineering properties conducted on the soil with silica fumes. The percentage of oil where the soil properties need stabilization is known and the soil is stabilized with the optimum silica fume percentage
Characterization and Applications of Non-Magnetic Rotating Gliding Arc Reactors - A Brief Review
Get PDFGliding arc discharge (GAD) reactors are known for high energy efficiency and good chemical selectivity compared to non-thermal plasmas such as glow discharge, corona and dielectric barrier discharge. Reported literature identified that planar diverging GAD have non-uniform gas treatment (e.g. only 20% of gas processed by plasma depending on electrode configuration). Further requirement of minimum limit gas velocity to drag the arc results in lower gas residence time.
This paper attempts to investigate the GAD performance and preliminary studies to overcome some of the identified drawbacks, by using only fluid mechanics without magnetic field (rotating gliding arc (RGA)) inside the plasma reactor developed in various research laboratories. This article discusses the applications of GAD and also focuses on bringing out the performance and comparing with the results from the existing non-magnetic rotating gliding arc reactors. The paper also summarizes results from literature in such reactor designs
Theoretical Charge density Proof of N–N weak bonds of RDX Energetic Molecule
Get PDFThe bond topological analysis of Cyclotrimethylene-trinitramine (RDX) energetic molecule has been carried out for the wave function obtained from the ab initio and DFT methods of quantum chemical calculations. The geometrical parameters of all bonds are compared with that of experimental reports. The inclusion of diffuse function in HF basis set levels makes the significant shift of bond critical point towards carbon atoms of C–N bonds. The heteroatomic bond density character is well understood from unequal C-cp and cp-N distances in all C–N bonds. For all the level of calculations, the maximum bond density was found for all N=O bonds, attributes the maximum potential energy V(r). The N–N bond properties are strongly depends upon the equilibrium bond length which clears from charge concentration in shorter N1–N4 bond and charge depletion found in longer N2–N5 and N3–N6 bonding regions. The bond topological analysis of all bonds in RDX molecule resulted that the N–N bond is the weakest among all the other bonds. The weakness of N2–N5 and N3–N6 bonds than N1–N4 bond of RDX has also been analyzed from energy density calculation from various level of theories as an alternate for Laplacian of electron density. From the analysis of CHELPG charges at the MP2 level, the N–N bonds of RDX appears to have a significant ionic nature which attributes strong hyperconjugation effect. The hyperconjugation effect of RDX, due to polarization of N–N bonds, is the additional proof of weak N–N bonds in RDX explosive. The isosurface electrostatic potential shows the electro positive and negative region in the molecule. A large negative potential found at the vicinity of oxygen atoms
Energy Efficiency gap and the barrier models in France
Get PDFIn this article, attempt has been made to identify the energy efficiency gap in SME (Small Scale Enterprises) and LME (Large Scale Enterprises) in France and the various models involved in overcoming this barrier. These models involve implementing several techniques like Energy Audit or contracting energy management to a third-party organization. This paper also discusses the motivating factors behind top-level management for implementing energy efficient practices in an energy intensive organization. Finally, this article also discusses the importance of energy management technology and the use of implementing them in real world
Compressive strength Prediction recycled aggregate incorporated concrete using Adaptive Neuro-Fuzzy System and Multiple Linear Regression
Get PDFCompressive strength of concrete, renowned as one of the most substantial mechanical properties of concrete and key factors for the quality assurance of concrete. In the present study, two different data-driven models, i.e., Adaptive Neuro-Fuzzy Inference System (ANFIS), and Multiple Linear Regression (MLR) were used to predict the 28 days compressive strength of recycled aggregate concrete (RAC). 16 different input parameters, including both dimensional and non-dimensional parameters, were used for predicting the 28 days compressive strength of concrete. The present study established that estimation of 28 days compressive strength of recycled aggregate concrete was performed better by ANFIS in comparison to MLR. Besides, the performance of data-driven models with and without the non-dimensional parameters is explored. It was observed that the data-driven models show better accuracy when the non-dimensional parameters were used as additional input parameters. Furthermore, the effect of each non-dimensional parameter on the performance of each data-driven model is investigated and 28 days compressive strength of concrete is examined
Rainfall Uncertainty and Drought Proofing Strategies by farmers in Southern India
Get PDFDroughts are a common occurrence in semi-arid areas and their frequency and intensity is expected to increase further with increasing variability in rainfall distribution. Based on a study of 120 farmers from 4 districts in Karnataka and Tamil Nadu, this paper identified the range of measures farmers adopt in response to droughts. Despite significant negative externalities, farmers assign higher priority to drilling new wells rather than investing in water conservation structures or demand management strategies. Among the different strategies followed, adoption of drip irrigation and purchase of tanker water for providing life-saving irrigation to perennial crops yield the highest financial return. Expansion of micro irrigation and reuse of municipal waste water are suggested as drought mitigation strategies
Performance Improvisation of Bituminous Roads using waste Plastic Material
Get PDFUtilization of waste plastic as a aggregate in bituminous mix results in weak bonding between the plastic and bitumen. This study reports on the feasibility of using plastic waste and chemical additives to improvise the performance and mechanical properties of bituminous mixtures. The selected recycled waste plastics were used as partial aggregate replacement in bituminous mix product. Strong oxidizing mixture of dichromate and sulphuric acid was used to treat the plastic, while the bitumen was treated with a cross linking agent, polyethylene mine. Three modified bituminous mixtures were prepared and the stiffness results were compared with the control bituminous mixture. It was observed that the stiffness increased by 10% for the chemically modified bituminous mixtures. This improvement is attributed to an increase in the bonding forces between the aggregates and the bitumen. Besides, a mechanism is proposed in order to explain the effect of the chemical additives on the increase in the stiffness of the bituminous mixture
Forecasting the Long Term Economics Status of Bangladesh Using Machine Learning Approaches from 2016-2036
Get PDFIt is a piece of happy news for us that Bangladesh has been now converted to a developing country. The United Nation and World Bank have recognized it. But they have a condition that we need to continue this economic progress till 2024 for getting a permanent recognition. The economic condition depends on many factors like Gross Domestic Product (GDP), Personal Saving, Private Sector Investment, Gross National Income (GNI) per capita, Human Assets Index (HAI) and Economic Vulnerability Index (EVI). This paper portrays the forecast of the long-term economic condition of Bangladesh as an independent variable which is a year and the dependent variables are GDP, private sector investment and personal saving. The living conditions of a country depend on GDP. Personal saving and Private Sector Investment are also important parts of a country’s economy. If we will forecast these attributes properly, then we can determine the economic condition of Bangladesh and living status of the people more accurately. Therefore, we can determine that Bangladesh can fulfil the condition of getting permanent recognized as a developing country. For forecasting these attributes, we proposed a model which consists of Karl Pearson’s coefficient and modified linear regression techniques. For improving performance, we modify linear regression by gradient boosting. This experiment shows that our model gives us more accurate forecasting about GDP, Private sector investment and Personal Saving
Experimental Investigation of Various Shell Footings in Cohesive and Cohesionless Soil
Get PDFThe increasing demand of infrastructure development leads to the usage of sandy soils; which possess low bearing capacity. In this regard, this study is to provide a novel solution to counteract the problems faced by the weak soil. The experimental study was carried out on both Flat and Shell models with the corresponding Triangular, Square and Hexagon shapes for both loose and medium dense condition. The models were compared based on their equal plan area. To carry out the experimental work, a model tank of cylindrical shape of dimensions of 50cm diameter and 50 cm height is used. Vertical load were applied to the models and the corresponding settlement were observed. The ultimate load carrying capacity of footing models was calculated and plotted by the load versus settlement graph. From the results, Improvement factor on vertical load carrying of Flat Square footing is 1.75 on loose sand. In dense sand the improvement factor of Flat Square is 1.67. The efficiency of pyramidal shell is 75% and 66.7% on counter flat footing on loose sand and dense sand condition respectively. The settlement characteristic of triangular shell is better than other models on both loose and medium dense conditions. The load carrying capacity and efficiency of square footing having more value among other footing models for both low and medium consistency of clay. In sand the efficiency of shell is greater than in clayey soil, so the shell footings performing better way in sandy soil