International Journal of Advanced Research in

Science and Technology (IJARST)


Volume 3 - Issue 3 | 2014


01. Arrival number of winter migratory wetland birds reduction in Telikunji, Icthapuram mandle, Srikakulam district, Andra Pradesh, 532195, India.

S. Mukunda rao *

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Highlights

The present studies deal with winter migratory birds that arrive in à telikunji wetland in Telikunji Village in Ictchapuram mandal of Srikakulam district, Andra Pradesh. The present study reveals that a total of 36 species of wetland birds belonging to 7 orders and 11 families were observed from these wetlands. Out of these 36 species of wetland birds,17 species of birds were winter migratory,6 species were local migratory,11 species were resident, and 2 species were summer migratory. The present studies hint towards those conditions and reasons which have discouraged birds during my study period i.e. 2012-2014.

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02. Probing the effect of Organizational Citizenship Behavior (OCB) on Social Capital (SC).

Masoud Firouzi*, Hani Harati and Reza Shahraki

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Highlights

The recent of studied were illustrated that there is a relationship between Social capital and OCB in organization. According to be importance of social capital in every organization, this study tends to probe of relationship between social capital and OCB by survey perspective in East Azerbaijan corporative organization in Iran. The sample size of the present study is 196 that selected from East Azerbaijan corporative organization. Social capital questionnaire was designed by Nahapiet and Ghoshal and questionnaires of OCB that has developed by DiPaola, The results illustrated that there is positive significant correlation between the mean scores of social capital and OCB on 95 percent co nfidence level (p<0.05), and increases or decrease in social capital have direct effect on OCB.

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03. An Adaptive Machine Learning Approach for Semantic Analysis to Extract Medical Knowledge.

Anushaa Putta* and Rama Janaki Devi Ramireddy

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Highlights

Machine learning approach over medical datasets is still an important research issue in recent days of technology in medical field. In our approach we are proposing an efficient classification approach for analysis of testing samples with training samples. Initially we train the medical abstracts by identifying disease and treatment and then forwards these informative and non informative sentences towards word of bag (Cure, prevent, etc.) to extract positive and negative sentences and finally update them in database for future classification of testing samples.

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04. Modeling and Contact Analysis of Composite (FRP) Material Lamination on Cylindrical Roller Bearing.

M. Nagamodha Jyothi* and N.Satya Kranthi Kiran

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Highlights

Fiber reinforced polymer (FRP) composites are an important class of tribological materials. They possess unique self -lubrication capabilities and low noise which make them suitable for applications like seals, bearings, gears and artificial prosthetic joints. The FRP composite bearings are ideal for high load low speed applications or where normal lubrication is difficult or costly. The friction and wear behavior of FRP composites varies with fiber orientation and sliding direction. For the purpose of fully utilizing the beneficial contact characteristics of FRP composite, it is necessary to obtain an in-depth knowledge of their contact behavior.

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05. Hybanthus enneuspermus (L) F. Muell. leaf broth mediated synthesis of silver nanoparticles.

Astalakshmi. A., Nima. P., Malathi. R. and Ganesan, V*

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Highlights

The present study is aimed to investigate the synthesis of silver nanoparticles using leaf broth of Hybanthus enneuspermus (Family: Violaceae). The freshly prepared leaf broth of H. enneuspermus was pale yellow in colour and turned to brown within thirty minutes and became dark brown in colour within twenty four hours when exposed to 1mM aqueous silver nitrate. This indicates the synthesis of silver nanoparticles from silver nitrate through bio-reduction. The synthesized silver nanoparticles were characterized by the UV-Visible spectroscopy (UV-Vis), Fourier Transform Infrared spectroscopy (FTIR), X-ray Diffraction (XRD) analysis, Scanning Electron Microscopy (SEM), Energy Dispersive X-Ra y (EDX) spectroscpy, Transmission Electron Microscopy (TEM) analysis.

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06. Design and Simulation of 256 bit 64-point FFT Using RADIX 4 Algorithm.

K. Praveen Kumar*, M. Srinivasarao and K. Venugopal

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Highlights

A Parallel and pipelined Fast Fourier transform(FFT) processor for use in the orthogonal frequency division multiplexer .it is important to develop a high performance FFT processor to meet the requirements of the real time and low cost in many different systems. Un like being stored in the traditional ROM, the twiddle factors in our pipelined FFT processor can be accessed directly. here we simulated and synthesized the 256 bit 64 point FFT with radix 4 using VHDL coding and simulation and synthesis done by Modelsim ISE and Xilinx ISE design suite respectively.

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07. Design and Development of ADIOS Based Pulse Input Counter Module for MPROGICON – 5000 PLC SYSTEMS.

K.Sandhya*,B. Vijaya Lakshmi and Y. Gowri Sankar

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The Pulse input counter module is an enhancement of the MPROGICON-5000 series PLC systems which comprises analog and digital input & output modules. The design is purely based on Modular ADIOS bus, which shall accept pulses in the range of 1Hz to 10 KHz with a time base parameter. The counter status, bus access and fault indication will be provided by front panel LED‟s. The counter module will include 5 independent channels; each channel can be operated at either 5 or 24 VDC pulse input signals.

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08. Multiple Groundwater Contamination in the Mid-Gangetic Plain, Bihar (India):A Potential Threat.

Sushant K. Singh*, Gin D. Sanchez, and Srikanta K. panigrahi

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Drinking water in Bihar (India) experiences multiple contaminations (arsenic, fluoride, nitrate, iron, and fecal coliform) challenges. This study focuses on developing an effective water-management decision-support tool by studying contaminated drinking water areas in the Mid-Gangetic Plain in the Bihar state of India. The major goals of the study are: mapping of the sampling density deficit index (SDDI) and mapping the pollution prevention priority index (PPPI). Based on the SDDI, approximately a 1000 drinking water sources in each district is needed to be tested to know a clear drinking water quality profile. Based on the PPPI, Saran, Bhojpur, Jehanabad, Nawada, Sheikhpura, and Munger districts should be given priority in groundwater-mitigation policies.

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09. LCPMOS : An Area Efficient Leakage Power Reduction In CMOS Circuits

Kuramdasu Tatarao* and Bigneswar Panda

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Highlights

In deep submicron technologies, leakage power becomes a key for a low power design due to its ever increasing proportion in chip’s total power consumption. Power dissipation is an important consideration in the design of CMOS VLSI circuits. High power consumption leads to reduction in battery life in case of battery powered applications and affects reliability packaging and cooling costs. We propose a technique called LCPMOS for designing CMOS gates which significantly cuts down the leakage current without increasing the dynamic power dissipation. LCPMOS, a technique to tackle the leakage problem in CMOS circuits, uses single additional leakage control transistor, driven by the output from the pull up and pull down networks, which is placed in a path from pull down network to ground which provides the additional resistance thereby reducing the leakage current in the path from supply to ground. The main advantage as compared to other techniques is that LCPMOS technique does not require any additional control and monitoring circuitry, thereby limits the area and also decreases the power dissipation in active state. Along with this, the other advantage with LCPMOS technique is that it reduces the leakage power to an extent of 91.54%, which is more efficient in aspects of area and power dissipation compared to other leakage power reduction techniques.

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10. First-Ply failure optimization strength of laminated composite pressure vessels

M. Srinivas*, I. Satyanarayana and T. Prakash Lazarus

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Highlights

Strengths of laminated composite pressure vessels are studied via both analytical and mathematical approaches. An Axis-symmetric finite element model of graphite/epoxy laminate pressure vessel is established by ANSYS finite element software. Analytical techniques are presented to determine the first-ply failure of laminated composite pressure vessels with different lamination arrangements. A solution algorithm is proposed to investigate the progressive damage and failure properties of composite Pressure vessel with increasing internal pressure. The maximum Principal stress, are validated with analytical and Mathematical for verification of algorithm.The accuracy of the algorithm prediction of first-ply failure strength is verified by the analytical data by ANSYS software.

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