bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Marketing Strategies using Social Media in Facebook, Youtube, Pinterest
Authors: Sekhara Rao Dr , Sri Lakshmi J , Sahyaja Ch , Dimple G
Published: May 2018

Social media is a key that will ensure An effective participation for Online networking and the organizations requirement should detract separate promoting hypotheses under thought Along these lines that they can support their brand in distinctive perspective. This research study analyses the impact of loyal customers of an organization. With developing number from claiming associations advertising extensive variety about decisions crosswise over that business constructed today's business All the more focused over ever preceding. Growing client devotion may be often recognized Likewise the enter driver for association's long expression reasonable showcasing victory. Recently, relationship promoting need created concerning illustration a champion around the practically fit. advertising devices to develop client devotion, communication and long haul engagement. Associations over the business are relying on relationship promoting to widen their piece of the overall industry by fortifying client connections and building client faithfulness.
Design of High Performance Decoder with Mixed Logic Styles
Authors: Khadir Mohammad , Renukarani S , Usharani Tunikipati , Hemanth Kumar D
Published: May 2018

The CMOS technology is the mostly portable technology used in the designing of the circuits and in its fabrication. Designing of the circuits using CMOS technology requires the high power, high transistors count and low performance. The basic idea of the project is in order to reduce the count of transistors, time delay, and power consumption and to increase the performance of the circuits such as line decoders. The line decoder is a combinational circuits to which „n‟ no .of inputs are given as input and the output is 2^n based on the selected input and it requires 20 and more than 20 transistors to design any MxN decoders using CMOS technology .In order to configure the parameters and to make it more portable we are using different types of logic styles this usage of technologies more than one technologies on each circuit is a mixed logic styles .In this concept we observe the results as per required .The technologies we use in this is TGL/DVL. The suggested framework “Design about low Power, helter execution 2-4 What's more 4-16 blended rationale offering Decoders” is executed done 45nm engineering utilizing cadence virtuoso tool. The circuit schematic is designed and the circuits are simulated for functionality verification.
A Versatile and Cost Effective Multimodal Wheelchair
Authors: Sampath Dakshina Murthy A , Rudra Pratap Das Dr , S.Koteswara Rao Dr
Published: May 2018

The aim of this endeavor is to design a wheelchair to suit to the needs of such persons .By incorporating temperature and humidity sensor, IR sensor, FSR sensor and voice recognition sensor/module ,the device is quite  versatile in attending to the basic problems encountered .After testing ,it was found that this apparatus helps in avoiding obstacles. If allows the person to use his tongue of required. The additional benefit is to have voice recognition for movement .Cost effectiveness is yet another merit of the proposed system.
Design and development of a novel triphibian quadcopter
Authors: Prajwal Shenoy T , Praveen Shenoy K , Khan Lukhman , Aziz Sabdar , Afran Sayed , Kumar Kamlesh
Published: May 2018

Multimodal Vehicles can travel in at least two distinctive modes of transportation, be it air and water, land and water or air and land. In this paper, design and development of a novel unmanned multimodal vehicle is presented that can travel in air, land and water, also called a as a triphibian quadcopter which would prove beneficial in rescue operations and operations involving hazardous environments. The vehicle is essentially a mix of unmanned aerial vehicle, unmanned ground vehicle and unmanned surface vehicle and is equipped with mechanisms to travel in land, air and water at the will of the operator. The entire framework of the vehicle is built on the multi rotor configuration. Flight tests were conducted to validate the design.
Interrelationship identification between humans from images using two class classifier
Authors: Verma Amit , Meenpal T , Acharya B
Published: May 2018

The paper proposes an automatic interrelationship identification algorithm between human beings. The image database contains two interrelationship classes i.e. two people hugging and handshaking each other. The feature detection and feature extraction has been done using bag of words algorithm. SURF features and FAST features are used as feature detectors. Finally, the extracted features have been applied to SVM for classification. We have tested the classifier against a set of test images for both feature detectors.  Finally, the accuracy of the classifier has been calculated and confusion matrix has been plotted.
Robust PID controller design for rigid uncertain spacecraft using Kharitonov theorem and vectored particle swarm optimization
Authors: S. Kumar Supanna , Shreesha C , K. Philip N
Published: May 2018

This paper presents a robust Proportional Integral Derivative controller design methodology for three axis attitude control of a rigid spacecraft with parametric uncertainty using a combination of Kharitonov theorem and vectored particle swarm optimization based approaches. A controller is designed for each of the three axes using a systematic graphical approach. Here, a plot of the stability boundary loci in the integral gain versus proportional gain parameter plane, for the specified gain and phase margins for each of the Kharitonov interval plants is used to determine the region representing the set of all PID controllers that satisfy the desired performance and stability requirements. Vectored particle swarm optimization technique is used to determine the optimized proportional and integral gain values. The spacecraft attitude control system is simulated using Matlab-Simulink tool which shows that the designed controller provides stability, robustness, good reference pointing and disturbance rejection for perturbations within the specific bounds.
Face recognition system based on principal components analysis and distance measures
Authors: Meenpal T , Goyal Aarti , Meenpal Ankita
Published: May 2018

Face recognition plays a vital role and has a huge scope in the field of biometrics, image processing, artificial intelligence, pattern recognition and computer vision. This paper presents an approach to perform face recognition using Principal Components Analysis (PCA) as feature extraction technique and different distance measures as matching techniques. The proposed method is developed after the deep study of a number of face recognition methods and their outcomes. In the proposed method, Principal Components Analysis is used for facial features extraction and data representation. It generates eigenvalues of the facial images, hence, reduces the dimensionality. The recognition is produced using three different matching techniques (Euclidean, Manhattan and Mahalanobis) and the results are` presented. Yale and Aberdeen Face Databases are used to test and analyze the results of the proposed method.
Swarm-dular quadcopter: bringing swarm robotics and modular robotics together
Authors: Mohan Deepak , R. Guruprasad K
Published: May 2018

In this paper, we present a new concept in robotics, which we call as swarm-dular robotics, by bringing together swarm robotics and modular robotics. We propose a swarm-dular quadcopter, which is a  modular  quadcopter, where, multiple wheeled  ground robots (AGVs), which  are part of a heterogenous swarm or  multi-robotic(agent) system (MRS or MAS), attach/dock  together to form an aerial quadcopter robot. We provide a conceptual design and demonstrate the proposed system using simulation experiments in  Robot Operating System (ROS). Behavior of the system as both a swarm and a modular quadcopter UAV are demonstrated.
Slope stability monitoring in opencast coal mine based on wireless data acquisition system-a case study
Authors: Dorthi Kumar , Ram Chandar K
Published: May 2018

Real time monitoring of slope failures is necessary to maintain the stability of slopes in open cast mines. A 3-level structure of Wireless Data Acquisition System (WDAQ) is developed for real time monitoring of slope deformation and analysis of data. In this paper, a case study is presented in a large opencast coal mine. Deformation in the slopes with slope angles of 49o, 53o, 58o, 64o, 68o and 70o is monitored over old underground workings. The deformation caused due to the external load like movement Heavy Earth Moving Machinery (HEMM). Maximum deformation was 1.57mm for slope angle of 70o. It can be observed that the deformation increased with increased slope angle. This paper also describes that the validation of data based on WDAQ with the conventional method of monitoring as well as numerical modeling. The data obtained using WDAQ is in close to other two methods. The variation is around 11%.
A performance analysis of fractional order based MARC controller over optimal fractional order PID controller on inverted pendulum
Authors: Mukherjee Deep , Kumar Kundu Palash , Ghosh Apurba
Published: May 2018

This paper presents a new way to design MIT rule as an advanced technique of MARC (Model Adaptive Reference Controller) for an integer order inverted pendulum system. Here, our work aims to study the performance characteristics of fractional order MIT rule of MARC controller followed by optimal fractional order PID controller in MATLAB SIMULINK environment with respect to time domain specifications. Here, to design fractional order MIT rule Grunwald-Letnikov fractional derivative calculus method has been considered and based on Grunwald-Letnikov fractional calculus rule fractional MIT rule has been designed in SIMULINK. The proposed method aims finally to analyze overall desired closed loop dynamic performance on inverted pendulum with different performance criteria and to show the desired nature of an unstable system over optimal fractional order PID controller.
Reconfiguration of distribution system and optimal dg placement DG to enhance voltage profile and reduce losses
Authors: Ravi Kumar Thummala , Kesava Rao Gattu
Published: May 2018

System reconfiguration which is compelled non linear enhancement issue has been tackled for loss minimization, load balancing, and so on. Another factor of equivalent significance is of DG plays a critical responsibility in the management of distribution system. It’s important to optimize its size and location in order extract maximum benefits of its placement. There are number reasons for optimizing the location and sizing, chief among them being reduce power loss and enhancement of voltage profile. Here a hybrid algorithm is proposed for reconfiguration and DG siting is employed to enhance the benefits of DG placement. Non Sorted Genetic Algorithm (NSGA) is employed to reconfigure the distribution system prior to the placement of DG. Once the system is reconfigured, Particle Swarm Optimization (PSO) is employed to recognize the ideal size and placement of DG. The results exhibit the suitability of this combined algorithm in terms reduced power losses and enhanced voltage profile. Results are compared and analyzed for DG placement with and without reconfiguration for IEEE 69 bus distribution system.
Analytical modelling of spiral cantilever structure for vibration energy harvesting applications
Authors: Augustine Nevin , Kotturu Hemanth , Meenatchi Sundaram S , S. Vijay G
Published: May 2018

Research on harvesting energy from natural resources is more focused as it can make microelectronic devices self-powered. MEMS based vibration energy harvesters are gaining its popularity in recent days to extract energy from vibrating objects and to use that energy to power the sensors. A solution for the major constrain for vibration energy harvesting in micro scale has been addressed in this paper. Cantilever beams coated with piezoelectric materials which are optimized to resonate at the source vibration frequency are used in most of the traditional vibration energy harvesting applications. In micro scale such structures have very high natural frequency compared to the ambient vibration frequencies due to which frequency matching is a constrain. Tip mass at the end of the cantilever reduces the resonant frequency to a great extent but adds to complexity and fabrication difficulties. Here, we propose a spiral geometry for micro harvester structures with low fundamental frequencies compared to traditional cantilevers. The spiral geometry is proposed, simulated and analyzed, to show that such a structure would be able to vibrate near resonance at micro scale. The analysis consists of Modal analysis, Mises stress analysis and displacement analysis in COMSOL Multiphysics. The result shows that the frequency has been reduced by a factor of 300 when compared to normal cantilever in the same volume. The work provides guideline for vibration energy harvesting structure design for an improved performance.
Flow blockage in a transonic axial flow compressor: simulation analysis under distorted conditions
Authors: Srinivas G , Raghunandana K , Satish Shenoy B
Published: May 2018

Today the aircraft industry is looking for faster and safer engines for both civil and military applications. The performance of all different types of air breathing engines depends on the amount of mass flow rate of air entering and hot gas ejecting out from the engine. Thrust is the key role for any engine performance. To achieve more thrust all the turbo machinery components like axial fan, axial flow compressor and axial flow turbine should function effectively. This paper is primarily dealing about one of the turbo machinery component, axial flow compressor performance where the study is more focused on flow blockage formation under distorted phenomena. The complete blade boundary layer formation and related flow numerical theory are discussed in detail, accordingly the boundary conditions were set to have better numerical simulations using ANSYS tool. To find the flow blockage formation suitable turbulence model was coded using the well know compressible equations. The flow blockage between the rotor and stator of the compressor stage was calculated and also validated with that of experimental data effectively. The flow simulation results also revealed that the performance parameters under the modern engine transonic speed from Mach 0.8 to 1.2 under the distorted conditions are better for aeromechanical features.
Hybrid synchronisation of vallis chaotic systems using nonlinear active control
Authors: Pratap Singh Piyush , Kumar Vikash , Tiwari Eshan , K. Chauhan Vinay
Published: May 2018

In this paper, hybrid synchronisation of Vallis chaotic systems using a nonlinear control technique is proposed. Vallis system represents the principal quantitative features of the El-Nino Southern Oscillation (ENSO) phenomenon. A nonlinear active control technique is used for hybrid synchronisation. Control laws are designed by using the sum of the relevant variables of the both mater and slave systems. Required Lyapunov stability condition is devised using Lyapunov stability theory. Numerical simulation results reflect the successful achievement of the proposed objectives. MATLAB is used for simulation.
Stochastic voltage stability margin in unbalance feeder with fuzzy based distributed generation placement
Authors: Prasad Sharma Jagdish , Ravishankar Kamath H
Published: May 2018

In this paper, the impact of distributed generation (DG) integration on worst stochastic voltage stability margin is investigated for a modified IEEE 37 node test system. This unbalance test system has voltage sensitive load model for industrial, commercial and residential consumers and load flow computed in MATLAB environment with 15 minutes metering time interval for a whole day. DG integration is based on fuzzy expert system and integrated between 35 to 73 period of metering time interval. The stochastic voltage stability margin for all phase are evaluated under three different DG operational scenarios and compared with results obtained in the base case. The cause and consequence of unbalance phenomena is also broadly discussed in detail.
Modelling of cloud based online access system for solar charge controller
Authors: S.P.M. Sharma B S , Ravishankar Kamath H , Siva Brahmaiah Rama V
Published: May 2018

In the current scenario, the considerable necessity of industry is to concatenate heterogeneous hardware components to the cloud based online access system for monitoring and identifying their behavior over a period. Every cloud computing is provided with a secured login credentials for limited access. The main objective of this paper is to record and transmit the readings of the instruments (Solar Charge Controller) to IoT which deals with establishing the suitable Web application on the cloud for Data logging and diagnostics. Using microcontroller information can be transmitted wirelessly with the help of Ethernet or Wi-Fi module. Some of the electrical devices can direct certain parameters to the microcontroller which are handled with the help of Ethernet or Wi-Fi module and connected to the cloud based system which may lessen the overall memory squandered. An attempt has been made to know the status of devices through PC/Laptop/Mobile/Tablet at any place while connected to cloud computing services.
A Cardio pulmonary resuscitation device for stretchers
Authors: Sadani Kapil , A.P. Prabhakar D , Nag Pooja
Published: May 2018

Cardiopulmonary Resuscitation (CPR) machine is a class III medical device for use in cardiac arrests. This budget device has been fabricated in house and calibrated using data from sensors used when an expert administers CPR on a patient in the face of emergency. Also, the device has its own feedback sensorics to optimize CPR delivery primarily the full chest recoil. The device was tested on mannequin and its performance was identical to trained CPR experts in terms of rate and pressure. On fulfilling all ethical requirements, this device has the potential to be a life saver in India and worldwide.
Design, fabrication and experimental studies of compliant flexure diaphragm for micro pump
Authors: Roopa R , Navin Karanth P , M. Kulkarni S
Published: May 2018

This study reports the performance of piezo actuated compliant flexure diaphragm for micropump and MEMS application. To achieve the high performance of diaphragm at the low operating voltage compliant flexure diaphragm design is introduced. Very limited work has done on the diaphragms of micropump. Large numbers of mechanical micropumps have used plane diaphragms. The central deflection of diaphragm plays an important role in defining the micropump performance. The flow rate of mechanical type micropump strongly depends on the central deflection of diaphragm. In this paper compliant flexure diaphragms are designed for micropump to achieve higher deflection at lower operating voltage. Finite element analysis of compliant flexure diaphragm with single layer PVDF (Polyvinylidene fluoride) actuator is simulated in COMSOL. Compliant flexure diaphragms with a different number of flexures are analyzed. The central deflection of compliant flexure diaphragms is measured for driving voltages of 90V to 140V in 10 steps. The deflection of the compliant flexure diaphragm mainly depends on flexure width and length, the number of flexures in the diaphragm, PVDF thickness, diaphragm thickness and driving voltage. Use of compliant flexure diaphragm for micropump will reduce the mass and driving voltage of micropump. An attempt is made to compare the results of compliant flexure diaphragms with plane diaphragms. From the experimental results it is noticed that the compliant flexure diaphragm deflection is twice that of the plane diaphragm at same driving voltage. Deflection of three flexure and four flexure compliant diaphragms is 10.5µm and 11.5µm respectively at 140V.
Nonlinear active control of a cancerous tumour
Authors: Shankar Dey Bhabani , Kumar Bera Manas , Krishna Roy Binoy
Published: May 2018

This paper deals with the control of a cancerous tumour growth. The model used is a Three-Dimensional Cancer Model (TDCM). The competition terms include tumour cells, healthy cells, and immune cells. Nature of the competition among the populations of tumour cells, healthy host cells, and immune cells results in a chaotic behaviour. In this paper, a nonlinear active control has been used to control the growth of a tumour. Effect of chemotherapy drug on the different cell populations has been studied. Our control objective is to control the tumour growth and minimize its population to a small value which can be considered as harmless.Along with the above objective, the normal cell population is also be maintained at a particular level. This work has been done completely inin-sillico environment. The simulation results are shown extensively to support the theoretical analysis and confirmed that the preliminary objectives of the paper are attained.
Development of FOPDT and SOPDT model from arbitrary process identification data using the properties of orthonormal basis function
Authors: Seban Lalu , Boruah Namita , K. Roy Binoy
Published: May 2018

Most of industrial process can be approximately represented as first-order plus delay time (FOPDT) model or second-order plus delay time (FOPDT) model. From a control point of view, it is important to estimate the FOPDT or SOPDT model parameters from arbitrary process input as groomed test like step test is not always feasible. Orthonormal basis function (OBF) are class of model structure having many advantages, and its parameters can be estimated from arbitrary input data. The OBF model filters are functions of poles and hence accuracy of the model depends on the accuracy of the poles. In this paper, a simple and standard particle swarm optimisation technique is first employed to estimate the dominant discrete poles from arbitrary input and corresponding process output. Time constant of first order system or period of oscillation and damping ratio of second order system is calculated from the dominant poles. From the step response of the developed OBF model, time delay and steady state gain are estimated. The parameter accuracy is improved by employing an iterative scheme. Numerical examples are provided to show the accuracy of the proposed method.
Effect of different types of wagon connectors on longitudinal forces of a heavy freight train
Authors: Rakshit Utsab , Malakar Bidhan , Krishna Roy Binoy
Published: May 2018

Indian Railway operates full rake freight trains of 2200t which consist of BOXN wagons having payload 58.08t and tare weight 23.2tfor each wagon. Longitudinal forces of a freight train have significant effects on safety parameters like derailment coefficient, comfort index and these forces are transmitted through the wagon connectors. For this reason, longitudinal forces are different for different types of wagon connectors. In this paper, the effect of different combination of wagon connectors on the longitudinal forces of a heavy freight train is studied. Nine combinations of the connectors are considered using three types of wagon connector, namely Sh-1-T, Sh-2-T, and Sh-2-V. The train model has one diesel locomotive and thirty open freight wagons each having 81.28t gross mass. The train movesona 1520mm gauge track of S-type curve having 300m radius. All simulations are performed in Universal Mechanism UM 8.1 software. The simulation results reveal that Sh-2-T wagon connector when used across the train generates the least longitudinal force.
Artificial neural network and neuro fuzzy inference modelling of global solar radiation data using bayesian algorithm for design of solar energy conversion system
Authors: Shanmuga Priya S , Maria Ubbenjans Lisa , Thirunavukkarasu I
Published: May 2018

Measurement of global solar radiation is particularly required for proper design of solar energy conversion systems. This study investigates the use of software tools like neural networks and fuzzy inference systems for modelling so as to predict global solar radiation using different input parameters based on available weather data. Advantages include simplicity, speed and efficiency, to make short term predictions of global solar radiation at different locations in India, Germany and United Kingdom. It helps in estimation of effectiveness of the applied model which matches solar radiation and other meteorological parameters which are in a non-linear relationship. Bayesian Inference algorithm is used for the current study in estimation of global solar radiation.
Modeling, simulation and experimental investigation of closed loop MPPT based single phase stand alone photo voltaic system using particle swarm optimization technique
Authors: V. Thakre P , M. Deshmukh V
Published: May 2018

Standalone photovoltaic (PV) systems are implemented to perform independently from the utility grid. Such system are beneficial for certain AC as well as DC loads; that too especially where conventional energy cannot reach. To make such system more efficient and independent, a closed loop control could be employed. This research paper presents a novel approach to model and simulate a closed loop maximum peak power tracking (MPPT) based single phase stand alone system using particle swarm optimization (PSO) technique. Based on the simulation results, an experimental investigation has been successfully carried out.
Control and evaluation of room interior lighting using digital camera as the sensor
Authors: G Varghese Susan , Pearl Kurian Ciji , I. George V , S. Sudheer Kumar T
Published: May 2018

This paper reports the results of measurements performed in a test room to test how digital camera can be used as luminance meter and thus to investigate the lighting control scheme based on the inputs coming from camera. An indoor lighting control scheme which adapts according to the daylight availability is presented in this work. The camera calibration procedure based on High Dynamic Range Imaging technique is used to obtain the camera response function which allows to relate pixel values obtained from the image and the photopic luminance values. Luminance gradient evaluation for the uniformity analysis is discussed for the test room.
Stability analysis of closed loop TRMS with observer based reliable H infinity controller using Kharitonov’s stability theorem
Authors: S. Rao Vidya , I.  George V , Kamath Surekha , Shreesha C
Published: May 2018

The laboratory Twin Rotor Multiple Input Multiple Output System (TRMS) serving as a model of a helicopter has un modeled errors in its model, due to linearization, measurement errors, equipment wear, sensors or/and actuator failures. This mismatch is termed as uncertainties in the model. Due to sensor and actuator failure there would exist a large range of uncertainties. In this paper, the range of robust stability bound for closed loop TRMS along with observer based reliable H infinity controller using Kharitonov’s stability theorem is found. The variation in parameters of TRMS from its nominal values are shown. The Kharitonov’s stability analysis on TRMS proves that within the mentioned uncertainty limit the TRMS along with observer based reliable H infinity controller gives the closed loop stable response.
Real- time implementation of parallel type fuzzy- PID controller for effective control of hybrid Pole self bearing Switched reluctance motor
Authors: S.R. Krishnam Naidu R , Salma U
Published: May 2018

This paper presents a hybrid intelligent and design in a real time for the rapid prototyping of a robust fuzzy controller along with conventional Proportional– Integral and Derivative (PID) controller that allows quick insight of these integrated designs. The design procedure of the parallel fuzzy PID and its combination with the traditional PID in a universal control scheme are extended. The structural design of the parallel fuzzy PID controller is composed of three fuzzy sub controllers which are connected in parallel. These parallel sub controllers are assembled to get the proposed parallel fuzzy type PID controller. The hybrid fuzzy PID gains are expressed in the error domain. Hence, the structural design presents an alternative to control schemes employed so far. This hybrid intelligent controller is formulated and executed in real world hardware for position as well as speed control of a Hybrid Pole Self Bearing Switched Reluctance Motor (HPSBSRM) drive system. The design of the parallel fuzzy PID controller, implementation and finally analysis all are carried out using MATLAB/Simulink environment. Software results concluded that the novel hybrid intelligent parallel fuzzy PID controller generates better control action when compared to traditional PID controller, predominantly in system nonlinearities and in external load variations.
Latency and throughput analysis of a pipelined GDI ripple carry adder
Authors: Shylashree N , S. Mahesh D
Published: May 2018

Latency and Throughput are deemed parameters of prime importance that determine the speed of an Adder Circuit. Ongoing research in the field of Digital Signal Processing involves optimizing an Adder regarding these parameters. This article picks up the study of a ripple carry adder and presents the use of two methods towards ameliorating the performance of an adder – viz., the use of GDI (Gate Diffusion Input) technology for reduced Latency, and implementation of a pipelined architecture towards increasing the throughput. In this paper, we have dileneated the function of a basic GDI cell, with which a 1-bit ripple carry full adder was designed, which in turn formed the basic building blocks of 8-bit and 32-bit ripple carry adders. These full adders were designed using GDI technology while employing the concept of pipelining resulting in a novel structure optimizing both latency and throughput. This paper also presents a comparison among CMOS and GDI RCAs of 8 and 32bits with and without pipelining.On simulating 32-bit RCAs in Cadence virtuoso tool using gpdk 180nm technology ,those with pipelining had a 4.5 times increase in throughput with 42.8% increase in latency.
Performance optimization of dual stage algorithm for lossless data compression and decompression
Authors: Shirakol Shrikanth , Koparde Akshata , . Sandhya , Kulkarni Shravan , Kini Yogesh
Published: May 2018

In this paper, an optimized dual stage architecture is proposed which is the combination of Lempel-Ziv-Welch (LZW) Algorithm at the first phase and Arithmetic Coding being the later part of Architecture. LZW Algorithm is a lossless compression algorithm and code here for each character is available in the dictionary which reduces 5-bits per cycle as compared to ASCII. In arithmetic coding the numbers are represented by an interval of real numbers from zero to one according to their probabilities. It is an entropy coding and is lossless in nature. The text information is allowed to pass through the proposed architecture and it gets compressed to the higher rate.
Performance improvement of 4G OFDM systems using CTSTC techniques
Authors: Padmaja C , L. Malleswari B
Published: May 2018

The concatenation of channel coding and diversity schemes are essential in the 4G communication systems to improve the reliable data rate transmission. To address Bit Error Rate performance enhancement, the paper presents the coding gain and diversity gain benefits using the proposed CTSTC scheme by adding modified Turbo features and Space Time encoding features. Simulation results of are provided using MATLAB and compared the results with convolutional coded Space Time Coding technique.
Centroidal Voronoi Partitioning using Virtual Nodes for MultiRobot Coverage
Authors: G Nair Vishnu , K R Guruprasad
Published: May 2018

This paper addresses the problem of Voronoi partitioning using Centroidal Voronoi configuration for a multi-robotic coverage strategy known as Voronoi Partition based Coverage (VPC) algorithm. In VPC, the area to be covered is divided into Voronoi cells and each robot covers the corresponding cell. We use the concept of Centroidal Voronoi Configuration (CVC) to achieve a more uniform load distribution among the robots in terms of the area covered. Instead of the robots moving physically into the CVC, we introduce a concept of virtual nodes, which are deployed into CVC. Once the Voronoi partition is created based on the virtual nods, the robots cover the corresponding Voronoi cells. A gradient based control law has been used for deployment of the virtual nodes. Simulation results are provided to demonstrate the proposed deployment and partitioning scheme.
Automatic segmentation of chondroblastoma from X-ray images using active contour and levelset method
Authors: Y. Muhammed Anshad P , S.S. Kumar Dr
Published: May 2018

Chondroblastoma is a benign but locally aggressive bone tumor found usually in the age below 25 years. Chondroblastoma is a destructive type of lesion with a thin radio dense border which is normally seen in the epiphysis of long bones. The benign tumors have similarities in pathology and could be related with histogenic similarity. This tumor reduces the strength of affected bone and may leads to death if not treated early. Chondroblastoma can be diagnosed from X-ray/CT/MRI images and the treatment is its removal by surgical methods. Diagnosis of Chondroblastoma is difficult due to the similarities with other benign tumors like chondromyxoid fibroma. To reduce diagnostic errors, computer aided methods can adopt. This work focuses on automatic segmentation of Chondroblastoma using active contour and level set method which gives better segmentation results and a mild stone to CAD design.
Static, Transient and Free Vibirational analysis of thermo magneto electric elastic solid cylinder
Authors: Karthikeyan S , K. Parvatha Varthini T
Published: May 2018

In this paper the static, transient and free vibration analysis of a thermo- magneto-electric-elastic solid cylinder is analyzed stochastically by using hybrid numerical method (combined finite element and Newmark finite difference method).An infinite solid cylinder made up of 6mm class considered. The constitutive equations containing the mechanical, magnetic, electrical and thermal fields and investigated by free and forced Vibirational boundary conditions. The transient finite element equations are obtained by assumed shape functions. After assembling the Mass, Stiffness and Damping and matrices, the global dynamic equations are in the form of time field. The resulting equations are solved by using the finite difference technique with suitable time instants. By using material constants values the displacement, velocity and acceleration of vibrations are obtained with various time values and the non dimensional frequencies are also obtained by different values of non dimensional wave number. Numerical work is carried out by the electric and magnetic materials Cdse and CoFe2o4. The outcomes are tabulated and represented graphically.
Inverted dual U slot loaded truncated microstrip patch antenna for wireless applications
Authors: Thandapani Kavitha , Subramani Shiyamala
Published: May 2018

Dual U Slot Loaded Truncated Microstrip Patch Antenna is designed for wireless applications. The proposed geometry comprised of two inverted U slots in truncated circular patch antenna operation covering 2.24 to 2.72 GHZ frequency bands are obtained. It is found that the slot and truncated is used to improve the bandwidth and return loss respectively. The resonant frequency is found to be 2.5GHZ. The bandwidth of the proposed antenna for lower and upper resonant frequency is found to be 19.2%. The proposed antenna is fed by 50Ω co-axial probe feed and simulated on Rogers RT/duroid5880 substrate.  Rogers RT/duroid 5880 substrate has dielectric constant and loss tangent of 2.2 and 0.0009 respectively. An air gap is used in this proposed design for tuning the desired frequencies and increasing the bandwidth. The antenna shows an acceptable gain of 2.1dB to 5.7dB with unidirectional pattern over the obtained frequency band.
Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry
Authors: Nayyar Anand , Mahapatra Bandana , Nhuong Le Dac , Suseendran G
Published: May 2018

Virtual Reality and Augmented Reality, these days, is offering many useful applications that is attracting greater attention from tourism researchers and professionals. As, AR and VR technologies are evolving, the number of scientific applications is also at increase. VR and AR are proving their worth especially when planning, marketing, education, tourist sport preservation coming to light. The aim of this research paper is to highlight top technologies for Tourism and Hospitality with regard to AR and VR.
Optimal Deployment of Camera Mounted UAVs Performing Search
Authors: Marina D’Souza Jeane , Suresh Rao Siddhartha , R. Guruprasad K
Published: May 2018

In this paper we address a problem of optimal deployment of camera mounted UAVs for a multi-robot search application. Here   multiple UAVs carrying downward facing cameras are required to look for targets of interest in a search area. The lack of information about the presence or absence of targets is modeled as an uncertainty density distribution over the search area and this uncertainty is reduced as the information is gathered using the onboard cameras. The UAVs are required to get deployed so as to maximize the uncertainty reduction. We provide a model for search effectiveness of the camera and use it to formulate a strategy for optimal deployment of UAVs. It is shown that a centroidal Voronoi configuration, where each UAV (camera) is located at the centroid of the corresponding Voronoi cell is an optimal deployment. We provide simulation results to demonstrate that the proposed optimal deployment strategy successfully      deploys the UAVs into centroidal Voronoi configuration, which maximizes the uncertainty reduction using cameras as search sensors.
Real time analysis of an intelligent torque controller for a hybrid bicycle
Authors: Indulal S , Ushakumari S , S. Chandramohanan Nair P
Published: May 2018

Most of the means of transportation is based on Internal Combustion engines, since they are fast and furious means of transportation. But bicycles are also relevant nowadays since they are the ideal means of the short commutation and which also helps in improving the human health by serving as a work out machine. But in our busy life bicycles are not preferred due to the uneven terrains. Electric bikes are the solution for this issue. Pedal assist sensor (PAS) based hybrid bicycle are also available, which will intermittently turn on and control the speed of electric drive based on the pedal crank speed. Thus there the electric drive assistance will be provided based on the speed of the pedal cranking. The real assistance should be provided when our torque requirement is needed. This paper deal with a novel sensor which sends the effort required at the pedal by the rider and intelligently control the electric drive so as to meet the required torque. The advantage of this controller is that the rider need to give only the same effort at the pedal irrespective of the terrain variations for a constant speed ride. A Fuzzy Logic Controller (FLC) is proposed here. The performance of the controller is simulated and analysed with the experimental results to prove the efficacy of the proposed technique.
The single server vacation queue with geometric abandonments and Bernoulli’s feedbacks
Authors: Vijayalakshmi V , Kalidass K
Published: May 2018

In this article the behaviour of a single server vacation queue with geometric abandonments and Bernoulli’s feedbacks is carried out and various important performance measures are derived. Some numerical experiments are presented to study how the parameters of the model influence the state of the system.
Smart curiosity sink node prediction mining algorithm for path optimization in wireless sensor network
Authors: A. Kannagi Dr
Published: May 2018

engineering, for example, the dispersed frameworks, the database frameworks, and the data mining. Dealing with the extensive sums of information and efficiently using this information in improved path optimization has become increasingly challenging. In this paper, we will demonstrate how sink node predicted and integrated for path relationships and patterns in linked data, i.e., the interdependencies between data items at the lowest elemental level. The problem of path optimization has been approached using various techniques. The path selection plays the vital role in achieving the quality of service parameter and secure communication. Considering multiple routing, the security can be enforced with various strategies. Using few parameters namely the congestion, delay and hop count would support improve the performance of the network as well as lifetime. With the motivation, an efficient smart curiosity sink node prediction mining algorithm has been presented in this paper. First, both the source and destination nodes maintain information about the routes and network conditions. Based on that a single efficient path has been selected for data transmission. On the other side, the receiver verifies the path being followed, the route available and their conditions. Using this information the delay approximation is performed to decide the legitimate of the path being selected and the traffic incur in the way. The proposed method identifies several network threats and detects the presence of the node in the route. The proposed plan improves the performance of mining data efficiency as well as increases the throughput.
A novel technique of dynamic speed control for buck boost converter fed BLDC motor drive
Authors: Sasikala K , Krishna Kumar R
Published: May 2018

This paper mainly impacts on a bridgeless buck boost converter fed Brush Less Direct Current (BLDC) motor drive with Power Factor Correction (PFC) which is low cost and well suitable for low power applications. The speed of the BLDC motor is controlled by adjusting the Voltage Source Inverter’s dc link voltage which is then employed along with a distinct voltage sensor. Thus the fundamental frequency switching of VSI operation becomes quite ease with BLDC motor’s electronic turn off which provides minimal switching losses. An acceptable performance is attained for speed control having power quality indicators within the allowable limits. To end with the suggested drive’s prototype model has been implemented to evaluate and confirm the suggested BLDC motor drive’s performance for various speed controls with enhanced AC main’s power quality.
Remote software update in trusted connection of long range IoT networking integrated with versatile edge cloud
Authors: Caroline Kalaiselvi R , Mary Vennila S
Published: May 2018

The Internet of Things (IoT) prompts can administered by gathering data from little sensor gadgets. As of late, stockpiling less detecting gadgets have been utilized to actualize IoT administrations.  They rely upon conveyed programming from a system server to work benefit capacities and IoT administrations are in view of gathered client data. In this way, it is critical to keep up trusted associations aid programming conveyance or information transmission. In the event that a system association is deceitful, stable information transmission can't be accomplished. Dishonest information associations cause numerous issues in IoT administrations. In this manner, this paper proposes a product refresh strategy in trusted association of IoT organizing. The technique utilizes Low Power Wide Area Network (LPWAN) as long-go IoT organizing innovation and utilizations a portable edge cloud to enhance registering effectiveness in an entrance arrange that comprises of IoT gadgets with lacking assets. In the strategy, the versatile edge cloud is coordinated into a door, and forms detecting information and remote programming updates of LPWAN. IoT gadgets can get programming capacities from the versatile edge cloud. The proposed strategy investigates measurable data about associations in a get to arrange and decides the LPWAN put stock in associations. At that point, programming updates can be performed over the confided in association. Utilizing trusted associations prompts an expanded bundle conveyance rate and decreased transmission vitality utilization. The strategy is contrasted with at present accessible frameworks through PC recreation and through computer simulation and this method’s efficiency is validated.
Estimation of power analysis in WLAN infrastructure
Authors: Shanmugasundaram N , N. Ganesh E , Kumar N
Published: May 2018

Design of indoor WLAN infrastructure requires prediction of radio waves propagation inside the building, which can be a complex problem. Therefore some sort of planning is required before the wireless networking hardware is set up.The goal of this work is to provide an estimate of the received power within a building. Physical environment is a large office building, of which we consider one part. The building is constructed of various materials. In this paper, we present a model that simulates the considered problem. Received power is calculated and compared to receiver minimum input level sensitivity given by the IEEE 802.11 Standards. Numerical results were obtained using MATLAB.
A performance analysis of clustering based algorithms for the microarray gene expression data
Authors: Yuvaraj K , Manjula D
Published: May 2018

Current advancements in microarray technology permit simultaneous observing of the expression levels of huge number of genes over various time points. Microarrays have obtained amazing implication in the field of bioinformatics. It includes an ordered set of huge different Deoxyribonucleic Acid (DNA) sequences that can be used to measure both DNA as well as Ribonucleic Acid (RNA) dissimilarities. The Gene Expression (GE) summary aids in understanding the basic cause of gene activities, the growth of genes, determining recent disorders like cancer and as well analysing their molecular pharmacology. Clustering is a significant tool applied for analyzing such microarray gene expression data.  It has developed into a greatest part of gene expression analysis. Grouping the genes having identical expression patterns is known as gene clustering. A number of clustering algorithms have been applied for the analysis of microarray gene expression data. The aim of this paper is to analyze the precision level of the microarray data by using various clustering algorithms.
Change detection algorithm for multi-temporal satellite images: a review
Authors: Bhavani M , Hanifar Sangeetha V , Kalaivani K , Ulagapriya K , Saritha A
Published: May 2018

Change detection (CD) is the process of detecting changes from multitemporal satellite images that have undergone spatial changes due to natural and man-made disaster. The objective is to analyse different change detection techniques, in order to use appropriately in various applications with the help of image processing. Techniques that are used in current researches are Image Differencing, Image Regression, Change Vector Analysis (CVA),Principal Component Analysis(PCA), Tasselled Cap, Gramm-Schmidt(GS), Post Classification Comparison, EM Detection, Unsupervised Change Detection, Li-Strahler Reflectance Model, Spectral Mixture Model, Biophysical Parameter Method, Integrated GIS and Remote Sensing Method, GIS Approach, Visual Interpretation and so on. Effective change detection is required for various applications such as rate of deforestation, costal changes, urban developments, damage evaluation, resource monitoring and land disposition.