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Volume V Issue VIII

8 paper(s)

Modeling of Reduced N-Heptane Combustion in Compression Ignition Engine

Olumide A. Towoju, Ademola Dare · August 2016 · pp. 01-08

Conventional compression ignition engines have high emission rates of Nitric oxides (NOx) and particulate matters (PM) than spark ignition engines despite being the most fuel efficient engines ever developed for transportation purposes thus the interest for research on it to make it more efficient and to meet the stringent legislation imposed by many nations’ government. Reduced N-Heptane (29 species, 52 chemical reactions) which is a representative of Diesel fuel was utilized in the model by importing it from the relevant files into the chemical reaction interface using the relevant governing equations and solved with COMSOL 5.0 which employs the finite difference method of solution. The model was used to study the effect of compression ratio and engine speed on the performance of the engine as it relates to species concentration, peak temperature and pressure, and the derived mechanical energy. The derived mechanical energy, peak temperature and pressure increased with increased compression ratio. The concentration of species n2, o2 and co2 also showed an increase with increase in compression ratio. The engine speed affects the period required to complete the combustion process, the time being shortened with increased engine speed. The derived mechanical energy also decreased with increased engine speed, the value being -1370.7J at a compression ratio of 18 and engine speed of 1500rpm and - 1353.6J at the same compression ratio but engine speed of 2000rpm.

What is a Geometric Spanner of Resizable Hadoop Channel for Homogeneous Lower Bounds?

Ravi (Ravinder) Prakash G · August 2016 · pp. 09-27

Abstract—We develop a novel technique for resizable Hadoop cluster’s lower bounds, *the template matching rectangular array of geometric spanner expressions.* Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of geometric spanner expressions whose columns are each an application of f to some subset of the variables x1, x2,... x4n. We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d) , where d is the approximate degree of f . This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Afin terms of well-studied analytic properties of f , broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity..

Decentralized Solar Power for Rural Electrification in India: A Review

Boola Choudhary and Dipti Sharma · August 2016 · pp. 28-33

There is manifold challenges of providing electricity to rural areas. The ever rising demand–supply gaps, the transmission and distribution losses, the high cost of electricity for the end user are a few of these. Use of renewable energy technologies for meeting basic energy needs of rural communities has been promoted by the Governments world over for many decades. In the recent past, India took a major step in its pursuit of sustainable development by revisiting and elevating Solar Energy sector. The off-grid solar energy has proved to be a winwin technology for the remote areas without grid connection for electricity. This paper attempts at reviewing and analyzing literature pertaining to decentralized rural electrification by solar energy. In this article, the present scenario of electricity and solar energy in India is discussed as well as the main applications of decentralized solar energy for rural electrification are highlighted. The literature on cost analysis including socioeconomic benefits of the population and diffused policies for promoting solar power is also reviewed in this article. The paper discusses the strategies and future prospects in its concluding remarks..

Nickel Ferrite Heterogeneous Base Catalyst for Synthesis of Dihydropyridines

Vijay V. Dabholkar, Swapnil K. Kurade, Keshav S. Badhe · August 2016 · pp. 34-39

The NiFe2O4 nanoparticle was found to be an excellent solid base catalyst for the one-pot synthesis of 1,4- DHP via Hantschz reaction of various aromatic aldehyde, ammonium carbonate and a β–dicarbonyl compound at 600C. This process offers key advantages including short reaction time, high yield, an environmentally friendly synthesis and simple work up process. Nano catalyst easily recovered and recovered catalyst was reused for number of times for compounds synthesis. The yield of product found to be excellent without loss of catalyst activity.

Study on Measurement and Management of Cash Flow Efficiency of Tata Steel Limited (Standalone Company)

R. Sathish Kumar · August 2016 · pp. 53-57

Cash is very important component in business. The main purpose of this study is to examine the incremental information content of operating cash flows in predicting the cash flow position of Tata Steel Limited. The present study covers 15 financial years from 2000-01 to 2014-15 to make analysis of cash flows is deemed quiet sufficient. Detailed cash flow analysis was made in Tata Steel (Standalone) company by adopting case study method. Ratio analysis, Simple percentage and cash management efficiency model were used for analysis. The overall cash flows of the company are good. If the company increases the operating cash flows to meet the total debt capital, it will lead to increase the better performance in cash flows.

Properties of Epoxy Composites Reinforced with Multi-walled Carbon Nanotubes

Udit Dinesh, Suriyaprabu Vijayaprabu, Azharuddin Kazi · August 2016 · pp. 64-71

Plastic composite material has been in to frontier of research as one of the new competitive materials in engineering. Especially, Particle reinforced plastic is a relatively new class of composite material manufactured from particles, nanoparticles and resins, and has proven efficient and economical for the development and repair of new and deteriorating structures. In this project, we report the mechanical properties of epoxy composites strengthened with Multi walled carbon nanotubes. Different composition (0.1%, 0.5%, 1%, 1.5%) of Multi Walled Carbon Nanotubes (MWCNT) are mixed with epoxy resin and castings are prepared by moulding technique. The different mechanical properties such as Tensile strength, Flexural strength and Hardness are evaluated at room temperature. One set of samples are immersed in salt water for moisture absorption and strength degradation studies. The mechanical properties are determined and are compared with that of dry specimens. The Results show that the Mechanical Properties increases with the increase in Percentage of MWCNT for the prepared Composites.

Leveraging Hadoop Framework for Predicting Underground Water Levels

Raguvaran.S, Joyce Beryl Princess.P · August 2016 · pp. 72-74

Life, both animal and plant, is impossible without water. Water scarcity is a vital scenario to be considered in the current world. In India with the increasing population and growth of industries the water availability is becoming inadequate to meet up the requirements of people. So predicting the water level is significant to know about water scarce in the impending years. Here we use Big Data Analytics in the study of developing forecasting models for predicting underground water levels. In this prediction first the data of present underground water level is collected as an ingest data operation, which is next moved into the big data storage. Then dynamic linear modelling algorithm is used to observe the pattern of historical data and predict the future underground water levels by applying data-driven analytics and data mining concepts.

To Design and Measure Physical Signal from a USBBased Data Acquisition System

Don Biswas, Gambheer Singh Kathait, Vishal Rohilla · August 2016 · pp. 75-81

Nowadays Universal Serial Bus (USB) has emerged as a very popular, inexpensive and easy-to-use short range (5m) communication media for data transfer with a PC (host), where the communication device acts as a client. The USB was originally designed to connect PC with its peripherals (keyboard, mouse etc.). However, it has proven useful for many other applications, including measurement and automation. An approach to develop a USB based data acquisition system is presented; where a PIC microcontroller (Microchip’s 18F2550) based standalone embedded system is used as a front-end data collection and also field control device. The developed USB based device continuously scans its input analog and digital channels sequentially and updates the PC with these values, which are updated in a Visual BASIC based application GUI (Graphical User Interface). Here USB device has been programmed as Human Interface Device (HID) class, which provides an additional advantage of not requiring any device specific driver. The firmware used in the microcontroller is developed in PicBASICPro platform. A second Generation JDM programmer has been developed, which is used along with WINPIC800 to program the microcontroller. This device can accept an analog input voltage between 0 – 5Vdc from any real life sensor(s) and generate digital output (8 bits) as control action.

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