ARPN Journal of Engineering and Applied Sciences                ISSN 1819-6608 (Online)
 

 
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ARPN Journal of Engineering and Applied Sciences                                      May 2015  |  Vol. 10  No. 8
   
Title:

Strip deflection compactibility method (sdcm) for rectangular plate analysis with corners held down

Author (s): Otoyo D. J., Johnarry T. N and Ephraim M. E.
Abstract:

The subject of plate shall continue to gain application in virtually all fields because of its applicability in numerous engineering projects such as in aerospace, building, naval architecture, offshore engineering, and roads. To ensure safe, fast delivery and economy of projects, engineers and researchers require a simplified and faster method of analysis. Strip Deflection Compatibility Method (SDCM) which utilizes basic equation of elastic curves in x, y, and xy directions to derive a Load Distribution Equation readily comes to rescue. With the new but simple model, the problem is reduced to calculating only the load factors in x, y, and xy directions. The factors are then multiplied by equivalent beam moments and deflection at point of interest to obtain plate values. Twist, deflections and Poisson’s ratio have all been used in the derivation of the model, thus guaranteeing a more reliable results and may be applied in any material.  Results from the model show great promise as they compare favourably to existing classical solutions.

   

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Title:

Evaluate the risk of hydrate blockage inbend flowlines

Author (s):

H.kh. Ben Mahmud

Abstract:

As oil and gas developments are moving into deeper waters, production strategies are becoming more challenging due to the aggressive environment. Generally, offshore wells have flow lines that transport hydrocarbon between the platforms, manifolds, and onshore facilities are normally lying on the sea bed. In such configuration where the flow lines are curved, there is a high risk of water accumulation at the low spot sections during shutdown operations. A multiphase Computational Fluid Dynamic (CFD) model based on a Volume of Fluid (VOF) approach is employed to investigate the effect of restart gas superficial velocity at a different liquid patching on the flow pattern within a long pipeline. The flow pattern obtained from the CFD simulations compare well with Baker flow map. CFD is demonstrated to be an efficient tool to predict adequately the flow behavior in such pipe flow system. The CFD generated flow pattern map allows for the risk assessment of hydrate formation, thus pointing out the conditions where the risk is either low or high.

   

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Title:

Security analysis of three factor authentication schemes for banking

Author (s):

S. Lakshmi, Nuni Sri Annapurna and T. Sharmila Latha

Abstract:

Lack of proper security in identification of a remote client in distributed systems, unauthorized access of various services and resources in different areas such as Banking, military government organizations has been increased enormously. The generally used technique to decide the uniqueness of a remote client is two factor authentication and the two factors are user id and password and one time password. This paper investigates basic and safe framework   to improve two-factor authentication to three-factor authentication. In three factor authentication identity of remote client is determined by three factors, namely MULTIPLE PASSWORDS to the distributed systems, NON-PROGRAMMABLE CARD and BIOMETRIC (face reorganization) along with MMS facility. This conversion not only signifies in the improvement of information guarantee at little expenditure but also defend privacy of the client in dispersed systems.

   

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Title:

Optical and dielectric force gradient actuation schemes for excitation of triple coupled micro cantilever sensor in mass sensing applications

Author (s):

Nalluri Siddaiah, D.V. Rama Koti Reddy, G R K Prasad, Hossein Pakdast and Patcha Satya Srinivas Babu

Abstract:

We apply dielectric gradient force actuation scheme to the central cantilever of triple coupled cantilever system. The oscillation amplitude and frequency of all the three modes is measured. We have shown that a dielectric cantilever can oscillate when a static voltage is applied with a modulation signal because of the polarization effect. This actuation scheme is also compared with the traditional optical actuation scheme.

   

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Title:

Selection of small hydropower project site: a multi-criteria optimization technique approach

Author (s):

Priyabrata Adhikary, Pankaj Kr Roy and Asis Mazumdar

Abstract:

Small hydropower projects (SHP) are emerging as solution for sustainable, eco-friendly, long term and cost-effective water or renewable energy resource for future. Selecting the appropriate small hydropower project site and its parameters in which to invest is a critical task involving different factors as each project is unique and site specific. Hence such decision-making can be viewed as a multi-criteria optimization problem with correlating criteria and alternatives. This task should take into consideration several conflicting aspects because of the increasing complexity of the socio-political, technological, environmental and economic factors. Traditional single criteria decision-making approaches cannot handle the complexity of such systems. Multi-criteria optimization or MCDA or MCDM methods may provide a better and flexible tool. This paper aims to evaluate applicability of multi-criteria optimization to decision makers during the small hydropower project site selection. To the best of the author’s knowledge these novel approaches for application of multi-criteria optimization in small hydropower site selection are absent in renewable energy or water resource or fluid mechanics literature due to its assessment complexity.

   

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Title:

Common rail diesel - automotive to aerial vehicle conversions: an update (part ii)

Author (s):

Luca Piancastelli and Leonardo Frizziero

Abstract:

Back to the 1997 when this activity began, it was generally thought that CRDIDs (Common Rail Direct Injection Diesel) would have completely replaced the piston gasoline engines used in aircrafts within a decade. This fact did not happen for several reasons. This paper tries to individuate these reasons. The more updated solutions to the many problems that almost stopped this application are also introduced. In this second part of this paper engine selection concepts and TBO (Time between Overhaul) are introduced.

   

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Title:

On the application of the high-performance virtualized computing infrastructure for processing large volumes of experimental modeling data

Author (s):

Khashkovsky V.V., Bolotov M.V., Shkurko A.N. and Trotsenko R.V.

Abstract:

The paper discusses approaches to organizing systems of experimental data analysis in terms of effective management of a high-performance computing infrastructure. The aim of the given work is to describe the organization of an efficient high-performance computing infrastructure for experimental modeling. To achieve these objectives, the analysis of data sources and processing stages, specific to the subject area, is performed. The approaches, based on key technologies, including the use of virtualization, are considered. For the approach based on the use of virtualization, the problems of the virtual infrastructure management and methods of its administration are considered. The conclusions tell about the coordination between the virtual infrastructure management policy and the management policy implementation resources based on development of specialized tools. The work performed is included into the basic part of the government task on "The Information and Algorithmic Support of Digital Control Systems, Autonomous High-Precision Navigation and Machine Vision in the Future of Aircraft: the Development of Theoretical Basis for Design, Algorithms, Methods of Efficient and Reliable Software Implementation, the Use of a High-Performance Computing Infrastructure for Experimental Modeling".

   

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Title:

Model of economic value for the dessertification process of the “Tatacoa dessert”

Author (s):

Jennifer Katiusca Castro, Nestor Enrique Cerquera and Freddy Humberto Escobar

Abstract:

A tool for collecting information for the economic value of the soil erosion growing in the Tatacoa dessert was design and validated. The internal consistency analysis calculated with the alpha coefficient of Cronbach was used for validation purposes which is a very trustable instrument. For the economic value of the desertification process was used a basic aggregate model which allows observing the desertification effects on such variables as “economic capital and work” expressed in the model as “gross value of agriculture production” (VBP). The model variables affect in a whole the “gross value of agriculture production” finding, furthermore, that economic capital, terrain, desertification and terrain-desertification interaction are variables that, individually, explain the gross value and agriculture production.

   

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Title: Optimal capacitor placement and sizing in a radial distribution system using clonal selection algorithm
Author (s): V. Tamilselvan, K. Muthulakshmi and T. Jayabarathi
Abstract:

This paper presents the Clonal selection algorithmic approach to minimize power loss and energy cost by optimal capacitor placement and sizing in Radial Distribution System (RDS). The clonal selection optimization for optimal capacitor allocation is considering the daily load curve, which is represented by a given number of load levels. As an important branch of the Artificial Immune Systems (AIS), the Clonal Selection Algorithm (CSA) stems from the clonal selection mechanism that describes the basic natural immune response to the stimulation of non-self cells (antigens). To check the feasibility, the proposed method is applied on standard 33 and 69 bus radial distribution systems. Numerical results obtained from the given approach are compared with other methods. The proposed approach results seem to surpass the solution given by other methods.

   

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Title:

Comparison of tuning algorithms of pi controller for power electronic converter

Author (s):

B. Achiammal and R. Kayalvizhi

Abstract:

The Negative Output Elementary Luo converter is a newly developed DC-DC converter. Due to the time-varying and switching nature of the above converter, its dynamic behavior becomes highly non-linear. Conventional controllers are incapable of providing good dynamic performance for such a converter and hence optimized techniques have been developed to tune the PI parameters. In this work, Bacterial Foraging (BF) algorithum and Modified Bacterial Foraging (MBF) algorithum are developed for PI optimization. Simulation results show that the performances of BE-PI controller and MBF-PI controller are better than those obtained by the classical ZN-PI controller.

   

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Title:

Review of acoustic characteristics of materials using impedance tube

Author (s): Niresh J, Neelakrishnan S, Subharani S, Kannaian T and Prabhakaran R
Abstract:

With the unprecedented growth of automobiles in emerging economies, it is essential to ensure a qualitative competition among automotive manufacturers. The benchmarking of each product requires precise testing equipment for qualitative parametric valuation and marketing. Automotive noise control is one such area, and is important in preventing the noise as it is not desirable inside the vehicle. Noise control materials are used in passive noise control and are sensitized to different noise sources. These materials need to be characterized for noise control characteristics. This paper elaborately discusses various methods available for measuring the acoustic characteristics of materials.

   

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Title:

A cost estimate model for sewerage system

Author (s):

B. Balaji, P. Mariappan and S. Senthamilkumar

Abstract:

Detailed design and cost estimation of a sewerage system consumes a lot of time due to the involvement of various components and technicalities. Many a times, a rapid assessment of a probable cost of a sewerage system is vividly required for budget projection. As such no preliminary cost model is available for the purpose. The present work attempted to derive a preliminary cost model. Population is the main factor based on which quantity of sewage to be handled is decided. Moreover, it governs the length of sewer, pipe size etc. Keeping the population as an independent factor, an empirical relationship has been derived between the population and installation cost of the sewerage scheme from the actual data. The developed relationship will help the planning engineers to prepare a cost estimate rapidly if the population of a city is known.

   

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Title:

Review and analysis of non-isolated dc-dc power electronic interface with fuel cell system

Author (s):

K. Prithivi and L. Ashok Kumar

Abstract:

Fuel cells are becoming the most interesting and promising alternative resources for both automotive industry and stationary power plants. However the technological hurdle lies in the design of an efficient power electronic interface for the development of commercial products in the aforementioned fields. As the fuel cell output voltage is low, achievement of high step-up, low cost and high efficiency DC-DC conversion is the major consideration. This paper reviews and analyses the various DC-DC converters suitable for fuel cell system applications which mainly focuses on the non-isolated topology along with its advantages, disadvantages and its suitability for various power applications. In addition a clear overview about the parameters to be considered for the selection of converters is also described.

   

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Title:

A survey on big data and its research challenges

Author (s):

S. Justin Samuel, Koundinya RVP, Kotha Sashidhar and C.R. Bharathi

Abstract:

There has been an ever-increasing interest in big data due to its rapid growth and since it covers diverse areas of applications. Hence, there seems to be a need for an analytical review of recent developments in the big data technology. This paper aims to provide a comprehensive review of the big data state of the art, conceptual explorations, major benefits, and research challenging aspects. In addition to that, several future directions for big data research are highlighted.

   

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Title:

Design and numerical enhancement analysis of slanting type baffle plate in shell and tube heat exchanger

Author (s):

V. Vedhagiri Eswaran, G. Ramadoss and N. Subramanian

Abstract:

In this research work it consists Heat exchangers are important heat transfer apparatus in Food processing, Energy conversion, Thermal sectors etc. The present work modifies the existing bends flow and pressure Losses method used for conventional foam hybrid heat exchanger, apply a consideration the slant type geometry of slant-changer. Thermal analysis was carried out to study the impacts of various baffle slant angles on fluid flow and heat transfer of heat exchangers with Slant baffles. The analysis was conducted for conventional shell and tube heat Exchanger and Twist type heat changer for five baffle Slant angles. Numerical finite element approch Analysis results indicate that continual Slant Type baffles can reduce or even eliminate dead regions in the shell side of shell-and-tube heat exchangers. The pressure Losses varies drastically with baffle slant angle and shell-side Reynolds number. The variation of the velocity Losses is relatively large for small slant angle. However, for flat or stright type, 15°-55°, the effect of α on velocity Losses is very less. Different between  to the sagricate hybrid  heat exchangers, the hybrid heat exchangers with continual Slant baffles have higher heat transfer coefficients to the same pressure ,velocity losses. The detailed Geometry on the heat convection and pressure Losses across the shell side will provide further basis flow for further optimization of shell-and-tube heat exchangers.

   

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Title:

A review on indirect solar dryers

Author (s):

Pranav C. Phadke, Pramod. V .Walke and Vilayatrai. M. Kriplani

Abstract:

Solar drying is one of the most ancient and simplest forms of drying known to mankind. Even today, most of the agricultural produce such as grains, spices, fruits and vegetables are dried under the sun. However, drying these products directly under the open sun has many drawbacks such as debris, rain, blowing wind, insect infestation, human and animal interference etc. which leads to contamination of the products. By the use of solar dryers, such problems can be easily overcome. Thus, there is a need to make the solar dryers more efficient and cheaper. There are various types of solar dryers developed and are classified based on the mode of air circulation, such as, natural circulation and forced circulation solar dryers; based on the type of drying, like, direct solar drying, indirect solar drying and mixed mode solar drying; material to be dried; types of operation e.g., batch or continuous, etc. In case of direct type solar dryers, the products are exposed directly to solar radiation which reduces the quality of the products. Also, the drying rate is very low in direct type solar dryers. These disadvantages are overcome by indirect type solar dryers. In this paper, we did a comprehensive review of various new technologies in indirect type solar dryers. We reviewed how these dryers fare against open sun drying and against each other and also, all the different enhancement techniques applied to them, in order to improve their efficiency and reduce the drying times.

   

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Title:

Preliminary study on managing facility y manager competencies for high rise building in Malaysia

Author (s):

Marjan Hussin, Hamimah Adnan, Ismail Rahmat and Norbaya Abdul Rahim

Abstract:

Facilities Management is devoted to the coordination of space, infrastructure, people and organization. This paper aims to identify the challenges faced by the facility manager’s in high rise building services in Malaysia. Facility Manager is often seen as a leader who seems not able to deliver full scale facilities management role, lacking in knowledge and skill (issue of competences). A preliminary study was conducted to 20 facility managers to gain initial overview of their working experience in the high rise building. It was found that the challenges were operational cost, quality of services, risk management, organizational needs, manpower expertise and business growth. In terms of problem resolutions, the prelim interviews highlighted inadequacy in defining acceptable service level, process review and measurement, choice of technological support, budget utilization and allocation as well as overall organizational target.

   

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Title:

An efficient automated multimodal contour segmentation of multimodal brain tumor image using dynamic sparse field

Author (s):

M. Jegan Mohan and S. Mohammed Mansoor Roomi

Abstract:

Segmentation of tumor cells from Magnetic Resonance Imaging (MRI) has witnessed significant popularity in recent years, bringing new challenges to advanced medical imaging. The performance of today’s image segmentation on multimodal brain images heavily depends on the consumption of processing time. In this work, we propose Automated Multimodal Contour Segmentation (AMCS), an efficient technique to achieve robustness under different scanning region points on multimodal brain images. Here, effective segmentation is performed by evaluating the tumor volume, curvature, global and local regions. The proposed MBIS algorithm result shows that the multimodal brain images with higher true positive rate compared with certain benchmark techniques in the literature while being efficient in terms of processing time, true positive rate and robustness in terms of segmentation accuracy.

   

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Title:

Vibration reduction in conventional vehicles by increasing the stiffness on the chassis frame

Author (s):

S. Ganesan and K. Panneerselvam

Abstract:

The major hazard overcoming by the heavy vehicle transport corporation in our country is generation of noises and it is due to loosening of components mounted over the chassis frame. For this reason transport corporations are spending lot of money at reconditioning centres. Ladder type chassis is the most commonly used because of its better bending and torsion strength. The source for the failures of fasteners in the road excitation frequency lying between 0 to 100 Hz. The natural frequency of the vehicle chassis frame for bending and torsion lies at the same range resulting in resonance causing the frame to vibrate. It is highly impossible to replace the chassis and suspension system with latest ones for the huge number of heavy vehicles under operation across the country. In our project we had shifted the natural frequency of bending and torsion above the road excitation frequency by the use of reinforcement plates placed at different geometries at the side rails of the frame. The modal analysis were conducted for various thickness of reinforcement plates like 5, 7 and 9mm. Software used in this work is CATIA V5 R20 for modeling, ANSYS for Analysis.

   

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Title:

Design of sensor network for real time data acquisition of water level in the agricultural field

Author (s):

Amit Biswal, Marimuthu R, S. Balamurugan and S. Ravi

Abstract:

Crop loss due to water logging and floods in the agricultural fields is one of biggest challenges faced by the farmers and a cause of concern for the scientists and researchers working for the innovations in agricultural technologies. Crop loss due to water logging take toll of heavy economic loss to the farmers and indirectly affect country's economy by enhancing the fiscal deficit. To counteract this problem, this paper proposes a system wherein the crop loss is reduced by controlling the water level in the field. In this system, capacitive plate based liquid level sensors are used in the sensor network. The main focus of this paper is on the design of a novel sensor network which is capable of sensing 96 sensor values which is obvious in the case of large commercial farms, using few ADC pins of a micro controller. This paper makes use of the proposed sensor network for agricultural application to prevent crop loss due to water logging.

   

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Title:

Pipeline architecture for fast decoding of bch codes for nor flash memory

Author (s):

Sunita M.S, Chiranth.V, Akash H.C and Kanchana Bhaaskaran V.S

Abstract:

The Bose-Chaudhuri-Hocquenghem (BCH) codes form a class of random error correcting cyclic codes capable of multiple error correction. This paper develops a new high throughput error correction mechanism for NOR flashes memories employing BCH codes. The high throughput is achieved by using pipeline architecture for decoding. The decoding of BCH codes is a complex process with multiple decoding stages and hence it requires a large decoding time. The pipeline mechanism enables multiple decoding stages to run concurrently rather than sequentially, which can in effect, significantly increase the throughput. Thus, this paper proposes a novel 2-stage pipeline circuit for the decoder. For validating the circuit, this has been compared with the conventional 3-stage pipeline and also with the non-pipeline decoding. The decoder area and power are found to be about 30% less than that of the 3-stage pipeline architecture. The throughput of the decoder is found to increase from 200Mb/s to 437Mb/s while operating for a clock frequency of 1GHz, which is a sweeping increase of about 118%. This significantly improves the system performance and hence, this architecture is depicted ideal for the high speed NOR flash memory.

   

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Title:

Pressure behavior of horizontal wells in dual-porosity, dual-permeability naturally-fractured reservoirs

Author (s):

Jing Lu, Tao Zhu, Djebbar Tiab and Freddy Humberto Escobar

Abstract:

The pressure behavior of horizontal wells in dual-porosity, dual-permeability naturally-fractured reservoirs is presented. The proposed equation is obtained by double Fourier transformation and Laplace transformation. The results calculated for combinations of various dimensionless characterizing parameters, including the permeability ratio between matrix and fracture systems, have revealed the unique behavior of naturally fractured reservoirs when the flow state within the matrix blocks is taken into account. It is concluded that, for the flow within matrix blocks will weaken the essential nature of fluid flow through a dual-porosity, single permeability medium revealed by Warren-Root model. This paper also presents the application of “Tiab’s Direct Synthesis” technique to horizontal wells in an infinite-acting dual-porosity, dual-permeability naturally-fractured reservoirs with pseudosteady state interporosity flow.

   

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Title:

Noise reduction and control in dcfs fbw with hardware and digital fuzzy filters

Author (s):

Luca Piancastelli and Raimondo Alberto Bernabeo

Abstract:

This paper introduces the implementation of a few algorithms based on fuzzy logic to improve the performance of a "Fly-by-wire" (FBW) "Digital Flight Control System" (DCFS). These algorithms have been tested on a flight simulator type "FNPT II". This simulator was entirely developed at the Laboratory of Aerospace Engineering of the University of Bologna (Forlě site). The algorithms should be simple (reliable) and quick in order to avoid response delay. They should also bring a true advantage in the FBW system. The proposed solutions are on the active filtering of the inputs an adaptive tolerance implementation for the identification of faulty sensors and their deactivation. The field in which this study has demonstrated greater effectiveness is in SW filtering of input signals, where a simple and effective algorithm was implemented. Finally, extremely simple hardware techniques to reduce input noise are also described.

   

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Title: Development of the decision support system in transit trade of industrial goods on the basis of cognitive approach and linear programming
Author (s): Khlebnikova A. I.
Abstract:

Currently, the market for industrial goods in Russia has formed a complex mechanism of movement of goods from producer to final consumer. An active role in the goods movement play a small wholesale transit trade companies, which carry out mediation activities. Decision makers are an integral part of the management of these enterprises. Due to a lack of skills and low level of knowledge about the market, lack of skills and gain economic ties with enterprises in particular transport and logistics sector as a whole, these companies become a source of inefficient solutions in the field of logistics of goods delivery, reducing the overall economic efficiency of commodity markets. Developed cognitive method for formalizing the optimization problem based on the development of a cognitive map which  quantitative vertices and their relationship justify the selection of optimization model parameters and constraints for industrial goods transit trade.

   

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Title:

Manner of definition of allowance in the tabular - algorithmic method of functions computations

Author (s): Ledovsky Mikhail I. and Sinyutin Sergey A.
Abstract:

In this work the power-effective algorithm of functions computation for wireless gauging modules for picking-up and processing the bio-physiological signals where the power consumption is provided due to energy accumulation from surrounding medium. Application of tabular-algorithmic method for computation of functions and different methods of allowance definition is being considered for power - effective algorithm derivation: the linear interpolation, monomial Taylor's series, method «digit after digit» and method of integration of generating equations prescribing the function behavior between the closest tabular and preset value of the argument. A special implementation of generating equations integration method is offered and the improvement of algorithm energy performances is justified: decreasing of fulfilled cycles’ number, reducing of volume of functions tabular values, use of set of prime adding operation (subtraction) and alteration. The analytical and experimental analysis of methodical error of algorithm is being performed. The results of model operation, given in system MATLAB, show that in the conditions of restricted precision of data and computations mode with the point fixed, the algorithm error accepts the admissible values. The results of operation can find an application at development of power -effective software of built-in systems with low power consumption.

   

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Title:

On the generation of homogeneous, inhomogeneous and goodier-bishop elastic waves from the geometrical ray theory

Author (s):

Victor H. Aristizabal and Juan D. Jaramillo

Abstract:

In this paper, a new group of exact and asymptotic analytical solutions of the displacement equation in a homogeneous elastic media, considering the most general solution of the Helmholtz equation, which have not been shown in papers and standard texts, are presented. Moreover, the authors show from the ray theory point of view the meaning of such solutions. These solutions could be helpful in future conceptual works about generation and emerging phenomena in elastic waves such as scattering and diffraction, among others, specifically in the analysis of the boundary conditions. Here, new kinds of P-S body waves that oscillate elliptically and propagate outward from sources in a full-space are found where, as special cases, the grazing longitudinal (Py) and transversal (SVy) waves of the Goodier-Bishop type, the analytic expressions for the Rayleigh wave and surface P waves, for which the amplitude decays from sources, are obtained. Also, the standard expressions for the homogeneous plane wavefronts, surface P waves, and Rayleigh surface waves, are achieved.

   

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Title:

A trust scheme for discovering and quarantine the misbehaviors in manet

Author (s): Vijayan R and Jeyanthi N
Abstract:

The nodes in mobile adhoc network misbehave due to topology changes, vulnerable medium, short signal range and limited energy. Mobile adhoc networks need collaboration and trust among the nodes for transmission of packets. Many existing schemes in MANETs are having less probability of detecting misbehavior of nodes. This trust scheme includes energy spent by a node; number of packet forwarded parameters in neighbor observation and recommendation trust evaluation. A most trustworthy node will act as certificate issuer. Certificates are required by highly trusted nodes for packet transmission. Misbehaved nodes are discovered and quarantined from routing packets. This scheme can be probable solution in crucial times of natural disaster, manmade disaster, military applications etc. Experimental results are presented with Qualnet Simulator. This proposed framework has shown better results in detecting misbehaving nodes.

   

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Title:

Optimization of performance characteristics in the absorber with twisted tapes inserts of parabolic trough collector using response surface methodolog

Author (s):

K. Syed Jafar and B. Sivaraman

Abstract:

A study is carried out with the experimental investigation of an absorber with twisted tape in solar parabolic trough collector to obtain optimum process parameters by Statistical tools such as design of experiments. In these study parameters as Reynolds number and twist ratio are optimized with the consideration of responses as the heat transfer and friction factor. From the results, it was observed that the significant increase augmentation in Nussle number and considerable friction factor can be obtained at high Reynolds number and low twist ratios parameters. Finally, from the experimental design and ANOVA using Design Expert software, it was found that the twist ratio is the major parameter that influences absorber of parabolic trough collector performance.

   

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Title:

Design optimization of helical gear using sheep flocks heredity model algorithm

Author (s):

P. Arulmozhi, M. Chandrasekaran and S. Padmanabhan

Abstract:

An optimal design for an engineering optimization problem involves various decision variables and constraints. In engineering applications, objectives under consideration conflict with each other, and optimizing a meticulous solution with respect to a single objective can result in objectionable results with respect to the other objectives. A practical solution to a multi-objective problem is to examine a set of solutions, each of which satisfies the objectives at a satisfactory level without being conquered by any other solution. In this paper, Sheep Flocks Heredity Model Algorithm (SFHM) used to optimize the helical gear drive with combined objective function which maximizes the power and minimizes the overall weight has been considered. The performance of the proposed algorithms is validated and results are compared.

   

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Title:

Impact of mobility speed on proactive and reactive routing protocols in mobile Adhoc networks

Author (s):

E. Gnanamanoharan and R. Bensraj

Abstract:

A Mobile Ad-Hoc Network (MANET) is an autonomous system and mobile nodes can communicate with each other by wireless links. At any moment nodes are coming together and leaving the network in random manner and also fast moving nodes frequently. These nodes get connected to each other and also can act as a router, by forward data to other wireless nodes. The topology of the network changes often or quickly by mobility of the nodes is an important aspect in the design of effective routing algorithm and it should be efficient and consistent to discover new routes and maintain them till the successful delivery of packets between the node pairs. This paper systematically discuses the performance evaluation and comparison of three routing protocols AODV, DSR and DSDV in two different scenarios using random waypoint mobility model and performance metrics such as throughput, packet delivery ratio and end-to-end delay are considered for the significant impact of mobility speed on the performance of the both proactive and reactive routing protocols

   

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Title:

An effective prediction analysis using J48

Author (s):

Bhuvaneswari T, Prabaharan S and Subramaniyaswamy V

Abstract:

Classification is the one of the well known techniques in data mining. Based on the attributes of the object, classification assigns an object to one of numerous pre-defined categories.  If information gain is not good then split attributes values into groups until we get better classification ratio. J48 is the one of the most frequently used classification techniques. In this paper, J48 is employed to effective prediction analysis of Iris data set. Three types of Iris flower with 250 instances and five attributes is used as test and training data. The results show that the accuracy of prediction is improved when compared with the existing ID3 method.

   

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Title:

Real time implementation of control strategies for three tank process

Author (s):

N. Kanagasabai and N. Jaya

Abstract:

In this study the controller for three tank multi loop system is designed using coefficient Diagram method. Coefficient Diagram Method is one of the polynomial methods in control design. The controller design by CDM method is based on the choice of coefficients of the characteristics polynomial of the closed loop system according to the convenient performance such as equivalent time constant, stability indices and stability limit. Controller is designed for the three tank system by using CDM method. CDM-PI is compared with fuzzy gain scheduling and conventional PI controller .The proposed CDM design is fairly stable and robust whilst giving the desired time domain system performance. The real time implementation of these two control schemes is done using VDPID data acquisition module for the three tank process.

   

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Title:

Geotechnical aspects of flood plain deposits in south east Aswan city, Egypt

Author (s):

A. El- Shinawi and O. S. Naymushina

Abstract:

Geotechnical aspects of the Flood plain deposits in south east Aswan City were investigated to evaluate their geotechnical behaviour. Flood plain deposits in the study area composed of soft soils which are difficult to both sample and test. The paper describes some geotechnical properties of these soft soils which representing the foundation bed for engineering constructions in south east Aswan City. Laboratory tests were carried out to assess the physical and mechanical properties of the soils. Different types of soft soils were detected by drilling six boreholes all over the studied zones including friable clays, clayey sand with remains of calcareous materials and well graded sand with gravel. The particle size distribution classified samples as clayey sand (SC) and well graded sand (SW). The investigated soil samples which were tested have low to medium water content and the water content were increased with increase the depth. Also the friable clay had low density and classified as loose soil, while well graded sand and clayey sand had medium to high density values and classified as medium to high dense soil. The unconfined compressive strength showed promising values in range of 1.86 - 22.1Mpa. Shear characteristics of the fine grained soils (friable clay) possessed the lowest peak friction angle (17ᵒ), while the medium to coarse grained sands had the highest peak friction angle (25ᵒ). Clay samples displayed moderate swelling pressure, in the vicinity of 16kg/cm2, pointing to less probability for various problematic situations during and after constructing processes. The extracted water from soil samples under investigation showed not aggressive manner.

   

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Title:

Soft-switching current-fed push-pull converter for PV application

Author (s):

K.Abarna, S. Divya and P. Raja Rajeswari

Abstract:

In this paper, a soft switching single-inductor push-pull converter is discussed. A push-pull converter is suitable for low voltage photovoltaic applications, because the step up ratio of high frequency transformer is high. Photovoltaic is considered to be a popular source of renewable energy due to several advantages, specifically low operational cost, and maintenance free and environmental friendly. In the conventional converter, primary switches are turned ON at the zero voltage switching condition and turned off at zero current switching condition through parallel resonance between the secondary leakage inductance of a transformer and resonant capacitor. The proposed push-pull converter also decreases the switching loss using soft switching of the primary switching. The boost rectifier added reduces the turn’s ratio of the transformer further when compared to the voltage doubler.

   

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Title:

Security analysis of three factor authentication schemes for banking

Author (s):

Albert Mayan.J, Sharmila Latha T and Kislay Kumar Sinha

Abstract:

Lack and resources in different areas such as Banking, military, government organizations has been increased enormously. The commonly used method to determine the identity of a remote client is two factor authentication and the two factors are user id and password and one time password. This paper investigates generic and secure framework   to upgrade two-factor authentication to three-factor authentication. In three factor authentication identity of remote client is determined by three factors, namely MULTIPLE PASSWORDS to the distributed systems, NON-PROGRAMMABLE CARD and BIOMETRIC (face reorganization) along with MMS facility. This conversion not only signifies in the improvement of information assurance at low cost but also protects client privacy in distributed systems.

   

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Title:

Mutual authentication using image processing and visual cryptography protocol for patient database

Author (s):

B. Padmavathi, Vishrut Sharma, Sungkrityayan Khan and Adithya Krishnareddy

Abstract:

Online Patient database is a particular type of service rendered by a chain of intercommunicated hospitals. Medical practitioners and clients are able to access their records or look into status of their diagnosis from any of the other or branch hospitals. The principle concern in online patient database is the authenticity of both the doctor and the client. Due to ineluctable intruding of the database on the Internet, it is very hard to rely on any kind of data on the Internet. The propounded approach of ours, based on Image processing technique and Visual Cryptography, the authentication problem is resolved. This particular paper proffers a technique of processing the Endoscopic Ulcer images based on Grow-cut and then divides it into Secret shares based on Random Grid Visual cryptographic Techniques. The total number of shares to be created depends on the strategy selected by the medical practitioner. If two shares are prepared, one of the shares is reposited in the Global Hospital Server, and the other is retained by the client. The client has to produce his/her secret share during the consultation. Client's share is then stacked with the Hospital Server share to obtain the original Endoscopic image. This method of correlation aids in concluding the decision based on espousal or denial of the output and hence confirms the client.

   

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Title:

Time synchronization using intelligent hybrid mac protocol for wireless sensor networks

Author (s):

J. Prathibanandhi and D. Vydeki

Abstract:

Accurately synchronized clocks are crucial for many applications in sensor networks. The Intelligent Hybrid Mac Protocol (IH-MAC) is designed to provide accurately synchronized clocks between neighbors. IH-MAC works in a completely decentralized fashion. Every node periodically broadcasts its time information. IH-MAC is the combination of both Q-MAC and Z-MAC. IH-MAC achieves high channel utilization during high traffic load. IH-MAC provides the internal synchronization which means consistent view of time across all nodes that makes robust against link and node failures. Due to high load it switches from broadcast scheduling to link scheduling. It uses the time synchronization method to allocate the time slots. IH-MAC uses Request to send and clear to send handshakes for low energy consumption. The objective of this paper is to increase the quality of service Hybrid MAC (IH -MAC) is used. The transmission power, throughput, delay and packet delivery fraction are measured. The IH-MAC protocol is simulated on the network simulator 2 setup.

   

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Title:

Energy aware fuzzy based multi-constrained single path QOS routing protocol in manets

Author (s):

V. Jayanthi and M. Sundarambal

Abstract:

Routing real-time traffic with good Quality of Service (QoS) is a challenging task in Mobile Ad-Hoc Networks (MANETs). Energy Aware Fuzzy based Multi Constrained Single path QoS Routing (E-FMSQR) protocol which is an extension of AODV is proposed to find an optimal path by considering multiple QoS metrics. Considering Multi-constraints like Bandwidth, Delay, Number of Hops and Energy, a single fuzzy cost is determined as output cost. The protocol also computes Link Expiration Time (LET) based on the speed and direction of movement of the mobile node to predict the nodes mobility to identify a stable path. An optimal path is chosen as one with minimum output cost and maximum LET. Path breakage due to link failure or node failure is prevented. The simulation result shows the improvement in throughput and packet delivery ratio with minimum delay. It shows better energy distribution among nodes minimizing node failures in the network and maximizing the network Lifetime.

   

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Title:

A guide to bluetooth low energy technology

Author (s):

Manik Grover, Suraj Kumar Pardeshi and NirbhowJap Singh

Abstract:

Bluetooth Low Energy (BLE) is used as a wireless technology for machine to machine communications and industrial automation. It is also being used in biomedical and sports products. This paper explains the software and hardware needed for implementing Bluetooth low energy technology. An android app has been developed for communication with the designed hardware. This paper serves as a guide to anyone involved in development with Bluetooth low energy. BLE technology is implemented and demonstrated with the help of an example. A high gain differential antenna is used in hardware for better range.

   

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Title:

Advanced text classifier based on the concept of pipelining and cc clustering

Author (s):

P. S. Ramesh and S. Letitia

Abstract:

Image processing is a way to alter an image into digital structure and carry out a few operations on it, in order to obtain an improved image or to take out a little valuable information from it. In this paper, testing has been made to pull out text from remote sensing images. The task is to separate text from the non-text area of an image. The separated text is converted into speech. And the way of segregation of text and translating into speech is supportive in lots of ways, such as guiding visually impaired persons; help to navigate tourists, etc., the citation of text area from a remote sensing image is done by maximally stable extremal region algorithm and the Ada boost classifier. The overall process of text extraction has to be done and achieved through the major concept called pipelining. Varied algorithms have been used in implementing this technique. Traditionally Region-based algorithm was used and it had lots of hindrance mainly the decisions were made locally. Hence connected component has been introduced which reduces the disadvantages of Regional-based algorithm to a certain extent. The main purpose of the experiment is to overcome the disadvantages like photometric degradation, geometric distraction. The result is to extract text area with accuracy and speed and also to overcome the disadvantages of previous techniques.

   

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Title:

Differential 10t tcam with parallel Pai-sigma matchline

Author (s):

Sulthana A and Meenakshi V

Abstract:

A low power differential 10T TCAM with parallel Pai-Sigma matchlines is presented which consumes less compare power during search operation, compared to 6T-TCAM. It performs parallel comparison with stored data which reduces power consumption of matchlines of TCAM and also search time is reduced .The NAND and NOR type matchlines are combined to form the Pai-Sigma matchlines. If NAND (NOR) type TCAM cell is used then NAND (NOR) type matchline is used. NOR type TCAM has feature of high speed and high compare power. NAND type TCAM has low speed and low compare power. In Pai segment the NAND type cells are connected in parallel to form the NAND type matchline. In Sigma segment NOR type cells are connected in series to form the NOR type matchline. The matchline incurs the problem of short circuit current due to mismatch and match result of NAND and NOR matchlines. NAND type matchline exist the problem of charge sharing when the search result of the NAND line is mismatches. This proposed TCAM has less compare (search) power compared to the NAND/NOR type TCAM cell.

   

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Title:

An improved method of mimo-ofdm channel estimation using chaotic pilot sequence

Author (s):

A. Sumathi, K.M. Ayesha and S. Kaja Mohideen

Abstract:

High data rate transmission, spectral efficiency and reliability are necessary for future wireless communication systems. MIMO-OFDM (multiple input multiple output- orthogonal frequency division multiplexing) technology, has gained great popularity for its capability of high rate transmission and its robustness against multi-path fading and other channel impairments with the available power and bandwidth. A major challenge to MIMO-OFDM systems is how to obtain the channel state information accurately and promptly for coherent detection of information symbols and channel synchronization. When perfect knowledge of the wireless channel conditions is available at the receiver, the capacity has been shown to grow linearly with the number of antennas. In this work, MIMO-OFDM channel estimation is done by using a novel pilot signal that is well suited for wide band applications.  Least Square (LS) and Minimum Mean Square error (MMSE) channel estimation methods are employed. Blind channel estimation and training sequence based estimation for fading channels (Rayleigh and Rician) using these two methods have been carried out. To improve the performance a new chaotic sequence is used for channel estimation. Finally the Mean square Error (MSE) analysis is done for SISO-OFDM and MIMO-OFDM and comparison is made between LS and MMSE methods through MATLAB simulation with chaotic pilot sequence and conventional pilot sequence. The proposed chaotic pilot sequence estimation gives superior performance.

   

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Title:

Investigations on lifting scheme based dwt ofdm and its fpga implementation

Author (s):

Stephy Mathew and N Hariprasad

Abstract:

One of the most promising modulation techniques is Orthogonal Frequency Division Multiplexing. In most of the wireless and wired standards, it has been widely adopted. The main idea of OFDM is to utilize the numerous number of closely spaced orthogonal subcarriers into a parallel stream of channels to transmit data. Here in this paper, implementation of DWT based OFDM in FPGA is done using lifting scheme architecture. The lifting scheme of DWT architecture is made by using both System generator XILINX and Simulink MATLAB and the results are analyzed. Also the linking of lifting scheme with OFDM is done. The FPGA implementation of DWT based OFDM using lifting scheme is done using Spartan 3E FPGA.

   

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Title:

Improvement of power quality using custom power devices

Author (s): P.K.Mani and K.Siddappa Naidu
Abstract:

There are many custom power devices and they are divided in two groups: network-reconfiguring type and compensating type. The network reconfiguring group includes the following devices: solid-state current limiter (SSCL), solid-state breaker (SSB) and solid-state transfer switch (SSTS). These devices are much faster than their mechanical counterparts. The compensating devices either compensate a load, correcting its power factor, unbalance etc., or improve the quality of the supply voltage. These devices are either connected in shunt or in series or a combination of both. The compensating group includes distribution static compensator (DSTATCOM) to compensate for load reactive power and current harmonics, dynamic voltage restorer (DVR) for voltage support, and unified power quality conditioner (UPQC) for both current and voltage compensation. The present work focuses on the last custom power device UPQC, which is a combination of a shunt and series device and can combine the functions of these two devices together.

   

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Title:

Fusion of medical images using mutual information and intensity based image registration schemes

Author (s):

C. Karthikeyan and B. Ramadoss

Abstract:

Image fusion is the process of combining two or more images for providing more information. Medical image fusion refers to the fusion of medical images obtained from different modalities. Medical Image Fusion helps in medical diagnosis by way of improving the quality of the images. In diagnosis, images obtained from a single modality like MRI, CT etc, may not be able to provide all the required information. It is needed to combine information obtained from other modalities also to improve the information acquired. For example combination of information from MRI and CT modalities gives more information than the individual modalities separately. The aim is to provide a method for fusing the images from the individual modalities in such a way that the fusion results in an image that gives more information without any loss of the input information and without any redundancy or artifacts. In the fusion of medical images obtained from different modalities they might be in different coordinate systems and they have to be aligned properly for efficient fusion.   The aligning of the input images before proceeding with the fusion is called image registration. The intensity based registration and Mutual information based image registration procedures are carried out before decomposing the images. The two imaging modalities CT and MRI are considered for this study.  The results on CT and MR images demonstrate the performance of the fusion algorithms in comparison with registration schemes.

   

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Title:

A wind-battery optimal design algorithm for power generation system

Author (s):

K. M. Kamble and Mr. H. T. Jadhav

Abstract:

This paper presents an optimal design with improved algorithm for optimal sizing of the standalone wind-battery power generation system, reporting minimum total cost of the system with satisfying the requirement of power supply reliability. The adopted method is found to be superior over earlier traditional methods. The energy storage system using a kinetic battery model may act as a source or a load according to the wind power output and loading conditions. Battery lifetime decides the lifetime of the system. The method proposed increase the lifetime of the system considering all the battery constraints.

   

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Title:

Lossless method for data hiding in encrypted image

Author (s):

Patel Roshni, Aslam Durvesh and Patel Urvisha

Abstract:

The concept presents an idea to embed data in an encrypted image by using an irreversible approach of data hiding or data hiding, aimed at secretly embedding a message into the data. Massage communication over internet facing problems like data security, copyright control, data size capacity, authentication etc. A new idea is to apply reversible data hiding algorithms on encrypted images by wishing to remove the embedded data before the image decryption. The aim of this dissertation is to create a secure data hiding technology. The data hiding and image encryption are done by using two different keys. That is encryption key and the data hiding key. So the receiver who has the data hiding key can retrieve the data embedded.

   

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Title:

TCDC: transformation of cloud datacenter framework to enhance business values using efficient scheduling algorithm

Author (s): Backialakshmi. M and SathyaSofia. A
Abstract:

As per current trends, Cloud is regarded as the computational model for Hyper Scale Computing and science cloud applications, which deals with complex and highly complex and intensive data. Cloud computing is a utility computing technique which involves a scheduling environment on demand and promotes scalable delivery models to the cloud users. The process of scheduling involves both the job and resource scheduling methods in a Cloud environment. The goal of this paper is to develop architecture and an algorithm for scheduling to manage the resources of cloud efficiently. The bio-inspired Efficient Deadline Based Ant Colony Optimization (EDBACO) technique is used for the scheduling of cloud resources in the proposed approach. It aims to end up with the optimal solution for the matching of the exact resources with the jobs. The simulation results of the proposed algorithm involve the parameters like success ratio and the CPU utilization. Moreover the proposed approach performs well compared to the existing conventional algorithms.

   

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Title:

Hybridization of fuzzy c-means and competitive agglomeration for image segmentation

Author (s):

I. Nandhin and V. Mohan

Abstract:

Image segmentation is the process of partitioning a digital image into multiple segments. Different methodologies have been proposed for the segmentation based on normal techniques such as region growing, threshold technique, watershed transform. The disadvantage of these methods leads to the development of segmentation based on clustering techniques. The main concept of data clustering is to use the centroid to represent each cluster. Also it is based on the similarity between the input vectors to that of the centroid to represent each cluster. Parametric and Non-parametric methods are the broad classes of the clustering methods. Non-parametric method involves finding natural groupings in a dataset using a Euclidean distance between the samples of the dataset. Non-parametric clustering includes k-means, hierarchical, spectral clustering. The disadvantages of these methods are lack of sufficient robustness to image noise. So, a fuzzy segmentation methodology has been widely applied in image clustering and segmentation. The important problem in fuzzy c-means is to specify the number of clusters and selection of objective function. So, a fuzzy clustering-based vector quantization algorithm is used. This algorithm utilizes a specialized objective function, which involves the fuzzy c-means along with a competitive agglomeration term. This algorithm is a fast process and the reconstructed images maintain high quality.

   

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Title:

A cmos temperature sensor with -60oc to 150oc sensing range and ±1.3oc inaccuracy

Author (s):

Subhra Chakraborty, Abhishek Pandey and Vijay Nath

Abstract:

An energy efficient temperature sensor for constant temperature monitoring has been introduced in this paper. The proposed sensor doesn’t use BJT for sensing; instead it utilizes the temperature dependency of threshold voltage of MOSFETs for designing of this sensor. The sensor circuit is designed with separate biasing circuit for limiting the power dissipation of the circuit. Both PTAT and CTAT voltages has been extracted from the circuit. The proposed temperature sensor is simulated in Cadence Analog Design Environment with UMC90nm library. The circuit has been designed for the range of -60oC to 150oC. The simulation result shows an inaccuracy of ±1.3oC and 862nW power consumption.

   

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Title:

Design of low power high speed dram architecture using dual edge triggered flip flop

Author (s):

Manoranjitham M and Vijayashaarathi S

Abstract:

Memory power consumption plays a major role in the multi-core computer platforms. Now a day, the bandwidth and the capacity of the memory data rate is increased. Due to that, the power consumption becomes higher and higher in the memory which covers a maximum power consumption in the system .Generally, conventional memory system do not provide an efficient mechanism for managing its power and performance tradeoff. Mini-rank architecture is designed for the DDRx memories by breaking each DRAM rank into multiple narrow mini-ranks and activates only fewer devices for each request which reduces the memory power consumption. This technique will cover large area due to different mini-rank configurations in the memory and the data transfer in the signal is slightly slow due to single edge triggered flip-flop. Thus, the structure of the mini-rank architecture is designed efficiently by combining different configuration in the common memory by introducing memory select line for selecting the x32, x16, and x8 bit configurations and also dual edge triggered flip flop is implemented in the memory to reduce the count of the clock cycle.

   

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Title:

Variation-tolerant sub-threshold sram cell design technique

Author (s):

Soumitra Pal, Malreddy Shekar Reddy and Aminul Islam

Abstract:

At present SRAM cell is under renovation stage. Researchers are trying to propose an SRAM cell that withstands the ever-increasing PVT (process, voltage and temperature) variations and supports low-voltage operation even under subthreshold regime. In this article, a 10T SRAM cell based on DSBB and DTMOS techniques is proposed. This cell is identical to conventional 10T (CON10T) SRAM cell except the body bias connections of the FETs used in the design. This cell is operated in subthreshold region varying from 400 mV to 200 mV. The proposed cell offers 2.64× higher read current and 1.36× tighter spread in read current. It takes 38.04% shorter time to sense a particular data available at the storage nodes with 50.58% improvement in its distribution. The proposed cell benefits 19.48% of write delay and 3.33× tighter spread in write delay compared with its conventional counterpart. It also offers 2× improvement in its write-ability and 2.67×   increment in read current to leakage current ratio (IREAD/ILEAK) with same RSNM (105 mV) and hold power (1.17 nW) @ 400 mV.

   

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Title:

A compact microstrip bandpass filter using various coupling topology for uwb application

Author (s):

J.Megala, H.Umma Habiba, Mullai Kodi. C., K.Bhavya and M. Krithika

Abstract:

This paper presents the design of Microstrip bandpass filter with Hairpin structure, Comb line structure, and tree coupled structure and cross coupled hairpin filter configurations with the center frequency of 4.8 GHz. The simulation of these configurations is performed using the ADS Simulation Tool. The four coupling topology filter is designed for the substrate FR4 (Flame Retardant) with the dielectric constant 4.4. The simulated results show that the coupling topology filters designed here are operating well for their desired specifications with good dielectric constants provides the highest return loss and lower insertion loss for filter configurations.

   

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Title:

Parallel multiplier-accumulator unit based on vedic mathematics

Author (s): Jithin S and Prabhu E
Abstract:

In this paper, an efficient parallel multiplier and accumulator (MAC) unit based on Vedic mathematics is presented. Vedic mathematics utilizes the Urdhva-tiryagbhyam sutra for the multiplier design. The proposed MAC architecture enhances the speed of operation while reducing the gate area and power dissipation. We also achieve improved delay with the help of Vedic encoder followed by the removal of accumulator stage by parallelizing the intermediate results feeding the input. Such pipelining of the midway results, prior to the final adder, has the effect of combining the accumulator stage with the partial product stage of the multiplier. Further, the overall computation speed of MAC unit is elevated by the efficient use of higher order compressors in the merged partial product compression and accumulator (PPCA) architecture. The area, timing and power reports show that, the critical path delay of the proposed design is significantly reduced and it outperforms the existing designs. We report an absolute improvement of 20-30% and 7-18% respectively for the 4-bit and 8-bit Vedic MAC units, in terms of its total circuit power, critical path delay and cell area. The architecture was synthesized using standard 90nm CMOS library and implemented on Altera's Cyclone II series FPGA.

   

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Title:

Channel estimation algorithms and bit error rate analysis of cognitive radio

Author (s):

M. PremKumar, M.P. Chitra and M. Arun

Abstract:

This paper mathematically proposes channel estimation algorithms for Cognitive Radio (CR) in terms of Mean Square Error (MSE) and analysis of its Bit Error Rate (BER) performance. As cognitive radio associates itself with the family of opportunistic communication for using frequency spectrum efficiently, issues such as spectrum sensing and channel estimation gain attention. When the main issue of spectrum sensing is accomplished through different methods, information needs to be transferred in cognitive radio scenario. The issue of channel estimation is important for information transfer and it plays a role in data detection. Channel estimation is addressed in this paper and the channel estimation algorithms proposed for estimating the wireless channel coefficients in a CR scenario are Least Squares (LS) and Linear Minimum Mean Square Error (MMSE) approaches. Though, LS and LMMSE are existing algorithms, there is no such specific research paper which presents simulation results of MSE performance of both the algorithms for Cognitive Radio. Hence, the unique contribution of this research paper is to derive the channel estimation algorithms for estimating wireless channel coefficients, obtain simulation results in terms of MSE performance and use the estimated coefficients in analyzing BER performance of CR environments. Simulation results show that the LMMSE algorithm shows better MSE performance in comparison to LS algorithm in lower signal to noise ratio (SNR) values and same MSE performance in higher signal to noise ratio values. This performance in higher SNR is due to characteristics of the training sequences used for estimation. To verify the correctness of the claims made in this research paper theoretical Mean Square Error performance is derived to validate channel estimation. The results shown in this paper can be helpful for researchers working in the community of Cognitive Radio and can act as platform for many pioneering research works to evolve in near future.

   

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Title:

Mem based brain image segmentation and classification using svm

Author (s):

T. Deepa, R. Muthalagu and K.Chitra

Abstract:

Computer aided diagnostics plays an important role in clinical routine. The application of new technology to different imaging modalities creates a more challenge. Image processing plays a vital role in medical applications. Brain is the majestic organ in the human body. The central nervous system consists of a brain, and spinal cord, which is a the major control network for the body's functions and abilities: conscious communication with our body and automatic operation of vital organs. It controls all over the body tissues. The brain is divided in to regions that control various functions, such as movement, speech and balance. Damage to a region may affect the some functions related to movement, difficulty speaking, or loss of coordination in all activities. Brain tumor is an irregular growth of new tissues in the brain. If that tissue is not treated well, spreading with other tissues will resulting in cancer. In proposed system, Modified Expectation Maximization (MEM) algorithm implemented for segmentation and SVM classifier applied for image classification.

   

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Title:

Prediction of body fat using segmental body composition by bioelectrical impedance in the evaluation of obesity

Author (s):

Ragini. B, Aishwarya. S.R, TamilSelvan.M, Anushree Pillai and Anburajan. M

Abstract:

One of the drawbacks of the most commonly used tool for obesity screening, body mass index (BMI) is its inaccuracy in assessing body fat. In order to address the issue associated with the aforementioned screening tool; this study aims at predicting body fat percentage (%BF) using segmental body composition variables measured by bioelectrical impedance analysis (BIA). A total of ninety women between the age group of 20 to 75 years participated in the study. From the women who partook in the study %BF, regional (arm, leg, trunk) fat distribution parameters and bioelectrical impedance variables were measured using multifrequency BIA. Pearson’s correlation was applied onto the obtained measurement data and was found that BMI and %BF were significantly correlated (r=0.952). Substantiated by the high value of correlation, %BF cut-off values for corresponding BMI cut off values recommended by WHO were calculated and obesity was evaluated for the population under study. Regression equations from the best model (r2=0.97) was used to predict %BF values for the subjects. Receiver Operating Curves (ROC) analysis was executed to evaluate the ability of predicted %BF values to distinguish between obesity and non-obesity. With the help of the analyses that were performed it was inferred that the predicted %BF was able to distinguish obesity clearly with sensitivity being 95.5% and specificity being 97.7%, the Area Under the Curve (AUC) was found to be 0.997. Corroborated by the high levels of sensitivity, specificity and AUC obtained from the analysis, the %BF computed from the segmental BIA variables can be used as an additional tool for screening population for obesity.

   

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Title:

Resource management in clouds: outlook and reflections

Author (s):

Aneena Ann Alexander and S Durga

Abstract:

Cloud computing is a common buzz word in today’s computing environment where processing, storage, network and software are provided as an on demand service to their customers. The resources required by different users depend on their respective personalized applications. Advances in technologies on the other hand, lead to the migration from traditional desktop devices to smart mobile devices.  Resource management in cloud is a complex problem due to its inherent nature such as heterogeneity in the resource types and their interdependencies, unpredictable load and scalable nature of the datacenters. This paper reviews various provisioning and load balancing strategies which outlines a conceptual framework of the resource management in various clouds. Additionally, an outlook of common research challenges such as meeting customer demands, application requirements, achieving global manageability of the cloud computing resources, developing energy efficient strategies are discussed for an efficient cloud resource management.

   

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Title:

Time-frequency analysis of ionospheric scintillation cosmic gps-ro data using synchrosqueezing transform

Author (s):

T. Raghavendra Vishnu, D. Venkata Ratnam and J.R.K. Kumar Dabbakuti

Abstract:

COSMIC GPS Radio occultation systems are developed for investigating global ionospheric and tropospheric features of atmosphere Ionospheric effects are a major critical concern in radio communications and navigation systems. The predominant Ionospheric effect is scintillation, which causes small scale fading in GNSS received signals. Hence, there is a necessity to understand the ionospheric morphology, especially in low latitude region. In this paper, GPS RO ionospheric scintillation measurements over the Indian region have been considered for the analysis. A Novel spectral analysis tool based on synchrosqueezing transform (SST) method is proposed for identifying low latitude equatorial Ionospheric anomalies. It is found that SST provides better time-frequency resolution under conditions of severe scintillation.

   

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Title:

Big data analytics in healthcare: a survey

Author (s):

Gemson Andrew Ebenezer J and Durga S

Abstract:

Like Oxygen, the world is surrounded by data today. The quantity of data that we harvest and eat up is thriving aggressively in the digitized world. Increasing use of new innovations and social media generate vast amount of data that can earn splendid information if properly analyzed. This large dataset generally known as big data, do not fit in traditional databases because of its’ rich size. Organizations need to manage and analyze big data for better decision making and outcomes. So, big data analytics is receiving a great deal of attention today. In healthcare, big data analytics has the possibility of advanced patient care and clinical decision support. In this paper, we review the background and the various methods of big data analytics in healthcare. This paper also elaborates various platforms and algorithms for big data analytics and discussion on its advantages and challenges. This survey winds up with a discussion of challenges and future directions.

   

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Title:

An secure melp communication using ecc and fec

Author (s):

Srinivasan Nagaraj and G.S.V.P. Raju

Abstract:

The purpose of cryptographic research is to devise protocols that provide a confidential and authenticated transmission channel for messages over an insecure channel. ECC used for encryption and decryption. They are typically fast and are suitable for processing small storage data. Many problems can be solved using ECC. In this paper we developed a security algorithm using the feature of ECC algorithm to provide the security for MELP-compressed speech transmission in noisy channels in conjunction with a forward error control scheme called Hamming distance code. Forward error correction (FEC) is a system of error control for data transmission. FEC avoids retransmission of data, at the cost of higher bandwidth requirements on average and we also devised a method to reduce noise during communication.

   

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Title:

Predictive vehicle collision avoidance system using raspberry - pi

Author (s):

Sumit Garethiya, Lohit Ujjainiya and Vaidehi Dudhwadkar

Abstract:

Highway obstacle detection is the most versatile and challenging task in real time scenario. With the enhancement of emerging embedded technologies in automotive field, the life of people becomes more comfortable and provides safety against accidents. Now a day, almost in all vehicles an intelligent safety and alert system is implement which warns the driver to avoid accidents. In proposed work, advanced collision avoidance  system is introduced which detects the presence of obstacle in front as well as in blind spot of vehicle and alert the driver accordingly. This system implants ultra sonic sensor for detection purpose of real time moving and stationary object under all weather environment.

   

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Title:

Multi target tracking under occlusion using particle filter and projected gradients

Author (s):

Karpagavalli. P M.E, Ramprasad M.E and Vijayadurga. P

Abstract:

A Promising approach for occlusion tracking, the most complex chore in target representation and target localization is proposed.  Multiple kernels provide more in-depth information than single kernels. Multiple inter related kernels have thus been exploited for tracking occlusion. Adaptive multiple kernels based tracker is attractive, because it contemporaneously combines a summary description of both the intensity values and spatial positions. The algorithm combined with projected gradients provides continuous optimization algorithm. Projected gradients furnish the best match using predefined constraints. An efficacious method is also accomplished to deal with the scale change issues. The paper provides fast convergence and lesser computation. Simulation results prove that the proposed method tracks the video object under occlusion efficaciously.

   

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Title:

Defending against security breaches of byzantine attacks in manets

Author (s):

R. Sivakami and G. M. Kadhar Nawaz

Abstract:

MANETs are widely used in military operations than their usage in commercial applications. Unmanned Army Systems, autonomous ground vehicles, automated battlefields and robots are the latest technologies of warfare and vigilance systems. The significance of MANETs in defense operations is inseparable. This increased use of MANETs in army leads to the need for improved ways of secured communications and robustness of the network. One of the major potential threats to military MANETS is Byzantine attacks. Byzantine attack is a kind of insider attack who knows very well about the functioning of established MANETs. This work gives a solution to eradicate Byzantine attacks from the MANET in an efficient manner with reduced complexity. There are different ways of attacking the system as an insider. This paper presents the different ways of attacking the system as insider and solution for prevail over the attackers. The security breaches of the attacks are studied carefully and to protect and recover the system from the malicious nodes through spatial connectors and Kirchhoff matrix along with strong cryptographic techniques is presented.

   

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Title:

Intelligent water drop algorithm powered by tabu search to achieve near optimal solution for grid scheduling

Author (s):

D. Thilagavathi, M.C.A. and Antony Selvadoss Thanamani

Abstract:

Grid computing is a network of computer resources where every resources are shared, turning a computer network into a powerful super computers. In which, Grid Scheduling is a non linear multi-objective problem. In this paper, intelligent water drop algorithm is hybridized with Tabu Search algorithm to solve scheduling problem in computational grid. The proposed algorithm named EIWD-TS is a meta-heuristic algorithm based on swarm intelligence. The optimization objective of this research is to find the near optimal solution considering multiple objectives namely makespan, slowdown ratio, failure rate and resource utilization of grid scheduling. The result of the proposed model of this paper is tested with PSA (Parameter Sweep Application) dataset and the results are compared with Risky-MinMin (RMM), Preemptive-MinMin (PMM), Particle Swarm Optimization (PSO) and IWD. Experimental evaluation shows that the EIWD-TS algorithm has good convergence property and better in quality of solution than other algorithms reported in recent literature.

   

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Title:

Io workload characterization of windows based analysis using birch algorithm

Author (s):

N.Krishnamoorthi and G.K. Kamalam

Abstract:

The analyse of the windows based Input and Output workload is driven by various trace captured from running systems for various standard file system benchmarks. To find that many of the issues arise in SSD design appeared in the memory stack. To solving these difficult problems, there is considerable scope for design choice. The following issues are relevant to SSD performance are Data placement, Parallelism, Write Ordering, Workload Management. As SSDs increase in complexity and existing disk models will become incomplete for predicting performance. To specify the random write performance and disk lifetime will vary significantly due to the locality of disk write operations. To introduce a new model for characterizing this behaviour based on cleaning efficiency and suggest a new partition based algorithms for extending SSD lifetime. IO workload characterization has been a critical issue for operating system and storage community. One critical method is used for hot-data identification, in which a given logical block address (LBA) is verified to see if it contains frequently accessed data. Hot-data identification for flash-memory storage systems not only imposes great impacts on flash-memory garbage collection but also strongly affects the performance of flash-memory access and its life time. The advancement of NAND-based storage devices, which bear different physical characteristics from hard-disk-based storage devices, calls for an entirely new way of characterizing IO workloads. To revisit the issue of understanding and identifying the essential constituents of modern IO workloads from the viewpoint of the emerging NAND based storage device.

   

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Title:

Authentication of classes of tulsi leaf for the extraction of medicinal qualities using image processing technique

Author (s): Vijayashree.T and A.Gopal
Abstract:

Leaf plays a major role in plant species. There are certain leaves which have medicinal qualities. Identification of leaf with look-alike is becoming a major task in day to day life. In order to overcome that computer vision technique is used which includes image processing algorithm. In this technique the features and texture of the leaf are extracted and the closest match is taken and identified to which class it belongs to. This paper deals with the algorithm of morphological processing to which the signature parameter is considered as the vein. Morphological processing includes structuring element which is a process of dilation and erosion. Authenticating an image with its signature parameter will be the most efficient method of identification to give highest accuracy than other methods.

   

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Title: Handoff performance service availability improvements in mimo enabled communication based traincontrol system
Author (s): Vinoth.V and Jeswin Glasdis Brindha. C
Abstract:

Correspondence based controlling system in the train is a computerized framework which assures the automated process for handling the information. Two remote trains correspondence is utilized here to swap the information in the middle of trains and wayside supplies. Remote neighborhood (WLAN) built CBTC has sway with respect to prepare control execution while taking handoff choices. In this paper, we can plan the Handoff choice approach by in light of the RSSI esteem. The quality of the sign got by every AP (Access Point) is utilized as the metric to choose when to Hand off the signal.

   

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Title: Resource allocation for ofdma based cognitive radio system using joint overlay and underlay spectrum access mechanism
Author (s): K.R. Shanthy M.E, M. Suganthi and S. Kumaran
Abstract:

In this paper, we propose an optimal scheme for subcarrier and power allocation in a orthogonal frequency division multiple access (OFDMA) based cognitive radio system. Here we consider subcarrier and power allocation for both underlay and overlay spectrum access mechanism. So this is called joint underlay and overlay spectrum access mechanism (JOUSAM). As such, for a given power budget, the total transmission rate of the CR users is maximized, whereas the interference introduced to the PUs’ receiver is kept below the given limits with certain probability. We propose an optimal power-and-subcarrier-allocation scheme for an OFDMA-based CR system with a JOUSAM. As the complexity of the optimal power and-subcarrier-allocation scheme can be high, we propose a low-complexity suboptimal power-allocation scheme. Presented numerical results demonstrate that, for given interference constraints, a significant improvement in the transmission rate is achieved with the JOUSAM, as compared with either the OSAM or the USAM. Selected simulation results also show that the fairness performance in terms of data rate sharing of the individual CR user for the optimal algorithm can be poor.  Therefore, we finally propose a suboptimal subcarrier-allocation algorithm that can improve the fairness performance.

   

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Title:

Supervised methods for domain classification of Tamil documents

Author (s): Reshma U, Barathi Ganesh H B, Anand Kumar M and Soman K P
Abstract:

The Era of digitization induces the need of domainclassification in both the on-line and off-line applications. The necessity of automatic text classification arises for utilizing it in diverse fields. Hence various methodologies like Machine Learningalgorithms were proposed to do the same. Here automatic document classification of Tamil documents have been proposed by considering the exponential growth of Tamil text documents in the form of unstructured data available as News, Encyclopedias, E-books, E-Governance, Social Media and much more. Max-Ent, CRF and SVM algorithms are used here to achieve more than 90 percentage average accuracy in both the sentence and document level classification of Tamil text documents. In this work Dinakarannewspaper dataset from EMILLE/CIIL Corpus has been utilized to experiment the ability of Machine Learning algorithms in Tamil domain classification.

   

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Title:

Low complexity arithmetic mean decomposition based pre-coding for mimo systems and its fpga implementation

Author (s): Bharani dharan N, Chinna thambi M and Rajaram S
Abstract:

This paper presents the novel approach for pre-coding in multiple input and multiple output systems using arithmetic mean decomposition. This proposed decomposition scheme has low complexity than popular geometric mean decomposition. CORDIC based Givens rotation is used for making the channel matrix as bi-diagonal matrix and then 2x2 singular value decomposition and 2x2 arithmetic mean decomposition operations are performed recursively on the bi-diagonal matrix. As a result upper triangular matrix with equal diagonal elements whose value equal to their arithmetic mean is achieved. The total system is implemented in Xilinx virtex-7 FPGA and accuracy analysis is also made.

   

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Title:

Application of renewable energy constant current source in the formation of uniform surfaced V2o5 nanobelts

Author (s):

Josephine R L, Suja S and Dhayal Raj A

Abstract:

Constant and continuous power is a major problem faced by the young researchers. Though many uninterrupted power supplies (UPS) exists to back up, the problem of power fluctuation during the synthesis has a very predominant effect in the synthesis of Nanomaterials. Herein a renewable energy-constant current source incorporating solar and wind energy has been applied for the preparation of uniform and smooth surfaced V2O5 nanobelts by simple hydrothermal method. The prepared nanobelts have been characterized by SEM, XRD, FTIR and TGA. The SEM images show that these nanobelts are with highly uniform surface and of length around 5µm. The XRD pattern shows the high crystalline nature of the prepared nanobelts. The material confirmation of the prepared samples was carried out using FTIR analysis which proved that the resulting nanobelts are vanadium pentoxide. V2O5 nanobelts are used as applications in the field of desalination, microelectronics, optoelectronics, sensors, lithium batteries, etc. Hence the resulting nanobelts proved to be successful outcome of material science and renewable technology.

   

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Title:

Design and simulation of fused Luo converter

Author (s):

R.Sujatha, M. Chilambarasan and M. Ramesh Babu

Abstract:

Among the available renewable energy resources, the wind and photo voltaic energy is being widely utilized because of their abundance and sustainability to generate electricity. In this paper, a new hybrid integrated topology, fed by AC supply and solar energy system is configured using Positive output Luo converter and negative output Luo converter. This configuration allows the two sources to supply the load separately or simultaneously together (Hybrid) depending on the availability of the energy sources. The main purpose of this hybrid is to meet our daily demand effectively and to get an uninterrupted power supply. By combining these two intermittent sources, the system’s power transfer efficiency and reliability can be improved significantly. Due to the inherent nature of this multi input converter, additional filters are not necessary to filter out high frequency harmonics and hence an enhanced output voltage with less ripples is obtained. Simulation results are given to highlight the merits of the proposed circuit.

   

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Title:

Integrated all-optical or logic gate using constructive beam interference in 2D photonic crystal

Author (s):

S. Spartagus and S. Ponmalar

Abstract:

This paper deals with the compact and high speed OR logic gate design in 2D photonic crystals with size of 77 µm2. To realize this, silicon rod based triangular lattice photonic crystal structure with refractive index 3.4, lattice constant 540nm and rod radius 100 nm is considered. Constructive beam interference effect plays a vital role in OR logic operation of the structure. The band analysis and the transmittance characteristics are analyzed using plane wave expansion and finite difference in time domain methods respectively. Photonic logic with high speed and compact structure offers the building block of future photonic integrated circuits.

   

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Title:

Mobile attendance management and employee registration

Author (s): S.P. Avinaash Ram and J. Albert Mayan
Abstract:

Staff attendance management and employee registration is a mobile application which can be used by the staffs to login their attendance through mobile phone and track other staffs location through mobile phone. Manual registration in biometric systems and entering in the attendance catalogues in different physical locations is the current system used in all the colleges. The staff will get updates regarding their attendance regularly from the admin as they login and log out so that they can keep a track on their attendance by using this application.

   

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Title:

A novel method for reducing number of computation in 2d-dct

Author (s):

K.K.Senthilkumar, R.Seshasayanan and D. Gayathri

Abstract:

The DCT performs very important role in the application of lossy compression for representing the pixel values of an image using lesser number of coefficients. Recently, many algorithms have been devised to compute DCT. In the initial stage of image compression, the image is generally subdivided into smaller sub-blocks and then these sub-blocks are applied to DCT. In this paper we have presented a novel method for DCT computation to reduce the number of computations based on the difference between the pixel values of adjacent rows. The DCT computations for second row are replaced by first row DCT computations when all the pixel values of second row are having very less difference from the first row pixels. In this way a larger number of computations are reduced. The method is verified with various high and less correlated images and the result shows that image quality is not much affected even though 4 bits per pixel are considered for row comparison. The correlation between the pixels of two rows is calculated by fixing a threshold value which depends on the elimination of number of bits used for row pixel comparison.  The simulation results shows that the proposed DCT method reduces the Number of computations by 50.02 % for highly correlated images and reduces 23.63 % for less correlated images without much affecting the image quality.

   

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Title:

Broker based QoS centric resource provisioning framework with financial options

Author (s):

Sahar Arshad, Saeed Ullah, Shoab Ahmed Khan, M. Daud Awan and M. Sikandar Hayat Khayal

Abstract:

Cloud computing has grasped the attention of scientific community and business industry towards the provisioning of computing resources as a utility and software as a service over a network. Access to software or hardware resources are seamless to cloud consumers in a way that provider of the service could be anywhere in the world by providing services in nebulous cloud. Most of the research studies have focused on the benefits associated with single cloud provider by provisioning and managing resources at provider’s end. This has led to the problems associated with pricing and quality of the services that cloud provider guarantees in SLA to their consumers. To tackle this issue, financial options theory in cloud computing economics has been introduced in the recent past where options can be bought in advance so that these may be utilized when required. However, QoS factors, that are vital for a cloud provider in order to accommodate cloud consumer trust, are not yet been addressed. We propose a federated cloud resource provisioning framework based on financial options theory to address the issue of job denial during peaks by leasing spare capacity from other cloud providers as well as satisfying cost and QoS requirements. We assess cloud providers based on the services they provide and best-fit selection is made while purchasing options to meet service level objectives. Also the issue of VM placement across multiple clouds is addressed to provide a resource sharing platform where the objectives of avoiding resource rejection and efficient service level agreement management are incorporated in the proposed framework. Using CloudSim simulator, various workloads were used to test our proposed framework. Results indicate that our broker based cloud federation framework provides a win-win scenario for both cloud providers and consumers by avoiding job denial and achieving better SLA management and resource utilization.

   

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Title:

Design and analysis of s-shaped microstrip patch antenna for gps application

Author (s):

D.Preetha, L.Ashokkumar, R.Logapriya and I.Hemushree

Abstract:

Microstrip antennas are relatively inexpensive to manufacture and design because of the simple 2D (2-Dimentional) physical geometry. They are usually designed to operate at UHF and higher frequencies because the size of the antenna is directly tied to the wavelength at resonance frequency. In this paper, a S-shaped patch antenna array is designed for GPS application. The antenna array is designed to enhance the overall performance characteristics of a radiating system at 1.6 GHz. Simulation models are developed for S-patch antenna and S-patch antenna array using High Frequency Structure Simulator (HFSS). Finally, a comparison among the developed simulation models is performed and conclusions are extracted.

   

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Title:

Design of compact coupled line wide band power divider with open stub

Author (s): S.C. Siva Prakash, M.Pavithra M.E and A.Sivanantharaja
Abstract:

A generalized coupled line power divider structure is proposed here for a wide band operation. The proposed design which consists of four coupled line makes the power divider to operate in wide band with better isolation. This coupled line structure is analyzed with odd mode and even mode impedance characteristics and contains two lumped resistors for providing isolation between the coupled lines. This structure also contains open stubs for improving the operation bandwidth. The proposed compact 3dB power divider has 50% area reduction while comparing it to the previous dual band coupled line power divider structure. Comparing the previous dual band structure, the proposed power divider has better isolation bandwidth and insertion loss. By using the basic Wilkinson power divider design equations, the new design of coupled line structure is proposed and designed to operate in wide band range 0.8-2.8 GHz.

   

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Title:

Abnormal gait classification using silhouettes

Author (s):

S.M.H. Sithi Shameem Fathima and R.S.D. Wahida Banu

Abstract:

This paper proposes a new methodology to classify the person with normal walk or abnormal walk for surveillance purposes. Recognizing human walk is emerging as a critically important biometrics, challenging computer vision problem. However, the inclusion of abnormal gait dataset with normal gait databases has to be very useful to classify the normal and abnormal walking style of a person. The silhouettes are trained and tested with K nearest neighbor classifier. We introduce a more challenging abnormal walk patterns like Antalgic gait, Charlie chaplin gait, steppage gait, scissor gait, circumduction gait, inclusive with normal gait data base. The database consists of about 5000 frames with 5 different walk styles. Manual selection of persons with different walking styles resulted in high degree of variability in pose and illumination. The method starts with the extraction of human silhouettes from input videos. Initially the continuous input videos are converted into frame-by-frame by means of conversion algorithm. Each frame consists of noises and shadows. Then silhouettes are removed from noises and discontinuities to produce an abnormal gait database. From the gait data base, parameters are measured by segmenting into six portions from head to neck, neck to torso, hip to knee of both right and left leg, knee to toe of both legs, height of the blob and width has also taken as features for training. The same features extracted with test data has to be compared with trained data for classification. The proposed methodology achieves 77% classification rate for abnormal gait.

   

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Title:

Effectiveness of wavelet families for power quality event quantization

Author (s):

Manoj Arun. S and M. K. Elango

Abstract:

Wavelet Packet Transform technique is used to estimate the Power Quality Disturbances. This paper exploits the usage of diversified kinds of wavelet families for Wavelet Transform, which can be potentially employed in quantizing the Power Quality Disturbances with accurate precision. The detection process is carried from the energy content of the transformed signals. Different wavelets viz Symlets, coiflet wavelets, biorthogonal wavelets and Daubechius wavelets are developed for detection. These wavelets are simulated and studied under the MATLAB environment. The result clearly shows the intrinsic worth of Daubechius and biorthogonal wavelets over the other wavelets taken into concern.

   

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Title: Dual tree complex wavelet transform based image compression using thresholding
Author (s): K. Indiradevi and R. Shanmugalakshmi
Abstract:

Large size images consist of multiple bands data which occupies large space. Image compression becomes important for such large image or data’s to reduce the bandwidth in transmission over a network and in storage space. Wavelet transform is an efficient tool with some limitations for various image processing applications. And these limitations are overcome by complex wavelet transform. In this paper dual tree complex wavelet transform is implemented based on arithmetic encoding algorithm. Dual tree complex wavelet transform (DTCWT) brings wavelet co-efficient nearer to zero. Also thresholding generates more zeros to yield higher compression ratio for an image compression with high quality image. Arithmetic coding algorithm is employed in this proposed method to improve compression ratio for compression of an image or data. The proposed method is implemented in MATLAB and the experimental result is compared with DCT Arithmetic and Huffman coding. The proposed method yields compression ratio of 3.6312 which is 33% and 24.03% higher than DCT using Arithmetic and Huffman coding respectively.

   

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Title:

Low power ternary shift register using cntfets

Author (s):

V. Sridevi

Abstract:

In the last few decades, interest in multivalued logic has grown rapidly due to its potential advantages over binary logic for designing energy efficient digital systems. In this paper, a ternary D flip flop with preset and clear inputs is designed using Carbon Nanotube Field Effect Transistor based ternary logic gates. The chiralities of the carbon nanotubes (CNT) used for constructing CNTFET based ternary logic circuits are (19, 0), (13, 0) and (10, 0) of diameters 1.487nm, 0.783nm and 1.018nm with threshold voltages of 0.293V, 0.428V and 0.557V respectively. The designed ternary D flip flop is used as basic building gate for constructing serial in and serial out (SISO) shift registers with improved design and energy efficiency.  Finally simulation results using Hspice simulator are reported to show that the proposed CNTFET ternary logic circuits consume significantly less power with considerable reductions in power delay product as compared to conventional binary logic circuits.

   

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Title:

Polymer modified bitumen prepared using abs polymer- characterization and application in flexible pavement

Author (s):

A. Ramalinga Chandra Sekar, M. Mahendran, R.Vasudevan and R. Velkennedy

Abstract:

The modification of bitumen using polymers in road paving applications is gaining momentum day to day over the past few years. The need for the modification is raised due to the need in the improved performance of the flexible pavements. Developing countries like India whose transportation mainly depends upon the road, need a vast research in this field. Presently the commonly used modifier for the modification of bitumen is the styrene butadiene styrene polymer which is elastomeric in nature. Polymers like styrene butadiene rubber, natural rubber and CRMB are also used for the modification of bitumen. Many scientists are experimenting on the use of waste polymers for the bitumen modification. The present paper is to study the modification of the bitumen using an elastomeric polymer Acrylo Nitrile Butadiene Styrene. Samples of ABS modified bitumen were prepared by mixing different percentages of ABS with neat bitumen of PG 80/100. The prepared PMB was subjected to various studies starting from empirical tests, Infra Red Spectroscopy and the thermal analysis. The results of IR investigations indicate that the mixed ABS modifies the chemical nature of the bitumen chain with some increased butadiene concentration in the mix. The nitrile group present in ABS also alters the structure of the bitumen mix. The thermal investigation indicates the various distinct decomposition stages of the modified bitumen and it shows an increase in the thermal stability of the polymer modified bitumen. The ageing characteristics of the modified bitumen were also studied and the results obtained are discussed in this research paper. The polymer modified bitumen aggregate mix was also prepared to study the mix properties. Properties like stripping test and extraction test was carried to study the binding nature of ABS PMB with the aggregate. The stability nature of the mix was carried using the Marshal Stability test and the voids parameters were also measured. The results obtained shows improved characteristics of the mix properties. With the results obtained for the ABS PMB and its mix shows that the prepared sample can be very well used for flexible pavement applications.

   

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Title:

Proposals for determining the impact energy at bus rollover for conditions of unece №66

Author (s): Kalmikov B.Yu., Ovchnnikov N.A., Kalmikova O.M, Jigulskii V.I. and Yurshin Yu.G.
Abstract:

Reducing the total impact energy bus is possible due to reduction of the mass of the bus, the acceleration of free fall or drop height of center of gravity. The most promising at the moment is to reduce the height of the fall of the center of gravity of the bus. To reduce the height of the fall is possible to use the author's device to prevent a rollover accident. This paper proposes a method for determining the total impact energy bus rollover bus. The method is applicable to conditions determined by the UNECE Regulation № 66, intended for the certification of passenger motor vehicles of category M3, taking into account the possible application of the device to prevent tipping.

   

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Title: Study of soft soil reinforcement using hybrid Pile-pvd
Author (s): Y. Sandyutama, L. Samang, A. M. Imran and T. Harianto
Abstract:

Recently due to the high demand of construction road need the construction in short period. The problem of construction on soft clay is the low bearing capacity and total as well as differential settlements. Therefore, innovation in soil improvement is needed. Soft soil improvement by geotextile and rigid piles is an interesting method to provide and economic and effective solution, which reduces settlements, construction time and cost.  Full-scale tests were performed to investigate the performances of Pile-PVD (Hybrid pile), geotextile reinforcement and conventional pile. This study consisted of pore water pressure monitoring by piezometer, ground settlement monitoring by settlement plates and lateral movement by inclinometer. Preloading with a trial embankment of 4.5 m height was used in this study. Measurements were taken for each stage of embankment construction in 3 months. Monitoring results show that Hybrid pile has effectively increased stability and the time of consolidation. Consolidation settlements of Hybrid pile were found to be relatively faster compared to conventional pile reinforcement.

   

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Title: Model test of road embankment reinforced by inclined pile on soft soil
Author (s): Suheriyatna, L. Samang, M. W. Tjaronge and T. Harianto
Abstract:

Indonesia is covered by wide lowland area which is dominated by soft clay. Particularly, East Kalimantan has specific conditions where soft clay is found contaminated with coal. Road construction on soft soil faces several problems therefore a various stabilizing method need to apply in the site since the soft soil has particular characteristic. The local trees (Melalucea Lencadendron Linn/Galam) are easily found in Kalimantan and have long life if buried in the swamp. This timber (Galam) is considered can be used as an alternative material for soil reinforcement. In this study, full scale test was conducted to observe the effectiveness of micropile (Galam timber) in reducing the settlement and compared to various condition (i.e. geotextile reinforcement and without reinforcement). During the construction stage of preloading, the settlement monitored by using a settlement plates, lateral displacement monitored by inclinometers and pore water pressure monitored by piezomenters. Measurements were taken every day for each embankment construction stage (3 months).  A numerical modeling was conducted in this study in order to validate the full scale test result. The result shows that the micropile that driven with the slope of 15 degree found the value of settlement is 400cm. The micropile distributes the surcharge load to the pile and decrease the differential settlement. Good agreement of numerical modeling compared to full-scale test result also found in this study.

   

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Title:

Finite element analysis of space truss using MATLAB

Author (s):

P. Sangeetha, P. Naveen Kumar and R.Senthil

Abstract:

One of the interesting engineering application is space truss, a three dimensional element, particularly used as roof for industrial and commercial structure spanning large distances. Analysis of space truss can be performed by many commercial FEA software available in the market. This paper concerns the current growth of MATLAB based program which analyze the space truss step by step as done in Finite Element Analysis. Using MATLAB all stages of calculations have been done to solve the space truss and verify with that of published experimental data.

   

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Title:

Linearization of nonlinear beat frequency in FMCW interferometry through waveform modifying technique

Author (s):

Nor Azlinah Binti Md Lazam, Koichi Iiyama, Takeo Maruyama,Yosuke Kimura and Nguyen Van T.

Abstract:

Frequency-modulated continuous-wave (FMCW) interferometry has become a more popular technique in recent years and is being widely used in optical ranging measurements. In an ideal system, the optical frequency sweep of the laser occurs linearly and periodically in time resulting in a constant beat frequency in time, in which the information regarding the distance can be extracted after FFT analysis. However, practically, linearity in the optical frequency sweep is difficult to obtain, and this leads to variation of the beat frequency in time. Nonlinear optical frequency sweep has become a challenging issue in the research topic to be solved recently. In this report, we proposed a linearization method by modifying the frequency modulation (FM) waveform through the external sampling technique to reduce the effect of nonlinear optical frequency sweep. In this technique, triangle FM sweep is generated and transmitted through the system and re-sampled by the Analog Digital Converter at the external sampling rate (temporal sampling). As temporal sampling changed with time, this resulted in a tiny deterioration in the FM waveform at the beginning of each ramp. Thus, a pre-distorted FM waveform was obtained. One period interval of that distorted FM waveform was extracted and used to reconstruct a new FM waveform signal. This new constructed signal was later retransmitted to the system as a new FM sweep signal. The process was repeated until the stability of the beat frequency was noticeably improved. The proposed linearization method has been worked out through experimentation, and after the 2nd iteration the result showed that this method effectively reduced the issue of nonlinear optical frequency sweep.

   

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Title: Segmentation of sar images using fuzzy c means with non local spatial information
Author (s): M. Vimala, R. Meena Prakash and R. Shantha Selva Kumari
Abstract:

The Segmentation of the Images refers to extracting the needed region from the image based on some specified methodologies. Thresholding Approach, Model-based Approach, Level Set Approach are some of the segmentation methodologies. The clustering methodologies can provide accurate results for most of the cases. As the number of clusters separated from the image increases, the segmentation accuracy also increases. The fuzzy c means is one of the clustering based methodologies. It has been extensively used for segmentation of images. Even FCM has some drawback. The main drawback is that the performance is degraded by noise. This problem can be overcome by Fuzzy C Means with Non Local spatial Information which can be derived from the pixels with similar neighborhood configuration to the current pixels so that impact of Noise level in the Image is reduced. Experimental results obtained for synthetic and real SAR (Synthetic Aperture Radar) Images demonstrate the improved robustness and effectiveness.

   

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Title:

Incremental aggregation model for data stream classification

Author (s):

S.Jayanthi and B.Karthikeyan

Abstract:

In online data stream processing, data stream classification task confronts several challenges such as, concept drift, concept evolution and partial labeling due to the dynamic nature of data streams. Amid these issues, concept drift is on the top concern that degrades the accuracy of data stream classification task, immediately upon its occurrence. However, concept evolution and partial labeling are also equally notable plights that are not focused by most of the existing approaches. Ensemble learning is a widely accepted prominent method that attempts to reconcile the issues encountering in the data stream classification. Our previous work addresses only the different types of concept drifts. This paper expounds a Novel Incremental Aggregation Model (IAM) which makes use of Adaptive Probabilistic Neural Network (APNN), Aggregate Weighted Ensemble Model (AWEM) and Ensemble Cloning that makes the system impeccable by combating against all the above said issues. The performance of the proposed algorithm has been experimentally tested with few synthetic data sets. Experimental results show that our model outperforms the existing ensemble approaches in terms of accuracy.

   

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Title:

Analysis of different shapes of defected microstrip structure (dms) and their stop-band performance

Author (s): Vijayakrishnan. J and Ravi Prakash Dwivedi
Abstract:

In this paper the study of different shapes of defected microstrip structure is made with standard 50-ohm transmission line is perturbed with to generate rejection band at S and C-Band that is beneficial to higher order harmonic suppression. A comparison of G shaped, T shaped and Hash shaped Defected microstip structure has been evaluated and a comparative study is made.

   

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Title: Enhancing learning experience of e-learners in laboratory courses using pair programming
Author (s): N. Mohanraj, V. Senthil Kumaran and A. Sankar
Abstract:

Laboratory courses constitute one of the core competencies that graduates from information systems discipline are expected to possess. Laboratory courses in e-learning are just a curricular formality without bothering about the part played by such learning experiences. Lot of practice is required for e-learners for acquiring a good learning experience, for which motivation is an essential factor. Research has suggested that the lack of a formalised structure for laboratory courses may be one of the factors responsible for learners’ negative impressions of e-learning and also for the high failure rate in e-learning. Ability to work  in  teams  has  been considered  one of the most important  learning  outcomes  of  the  laboratory courses. This study highlights the importance of laboratory courses in e-learning and investigates whether the use of pair programming in laboratory courses would enhance the learning experience of e-learners.  The final objective is to provide new learning experience to motivate e-learners and present laboratory courses as an easy and attractive challenge using pair programming. Experiments were conducted in data structures, problem solving and C programming courses. Results indicate that the learning experience of both the learners and teachers were improved in laboratory course and also showed an improvement in failure rate.

   

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