bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Efficient MAC Architecture using Multiplier for DSP and DIP Operations
Authors: Rahul Reddy P , Vyomal N Pandya , Choubey Abhishek 
Published: May 2018

DSP operations are very important part of engineering as well as medical discipline. For the designing of DSP operations Multiplication is play important role to perform signal processing operations. Multiplier is one of the critical components in the area of digital signal processing and hearing aids. So the objective is to design an efficient MAC hardware architecture using multiplier with assistance of compressors by conserving less area, power and delay. In this paper, efficient hardware architecture of MAC using a modified Wallace tree multiplier is proposed. The proposed MAC uses multiplier with novel compressor designs and adders as primitive building blocks for efficient application. Further, the Verilog-HDL coding of 8 bit MAC architecture and their FPGA implementation by Xilinx ISE 14.4 Synthesis Tool on Virtex7 kit have been done. The proposed compressor and adder based architecture used to be applied to MAC unit and in comparison to the previous design MAC unit and verified that the proposed architecture have reduce in terms of area, delay and power. The high performance is obtained by using a new hierarchical structure, these adders are called compressors. These compressors make the multipliers faster as compared to the conventional design used in Engineering, Science & Technology as well as medical discipline.
Bandwidth Estimation Algorithm of WestwoodNR for Wireless Network
Authors: Vyomal N Pandya , Reddy P. Rahul , Choubey Abhishek 
Published: May 2018

Two widely known parameters of Transmission Control Protocol (TCP) used to control the flow of packets are Congestion Window (cwnd) & Slow Start Threshold (ssthresh). After congestion, slow start phase or fast-retransmit phase come in action wherein TCP has an important role in the reduction of these parameters. This is in response to packet loss identified by TCP. This in turn will cause unnecessary reduction of data flow & degradation of TCP throughput. Researchers have developed some algorithms to come out of this problem, WestwoodNR is one of them. WestwoodNR is using Bandwidth Estimation algorithm to estimate available bandwidth, to make effective use of available network capacity even after the congestion episode. It allows higher values of ssthresh & cwnd when it enters the fast-retransmit phase and slow start phase. In turn this algorithm claims better performance in terms of bandwidth utilization. The focus of this paper is on error recovery mechanisms suitable for WestwoodNR operating over the wireless sub path. These mechanisms have to address the increased bit error probability and temporary disruptions of wireless links. The efficiency of WestwoodNR within wireless scenarios is investigated and possible modifications that lead to higher performance are pointed out.
Comparative study of Object Recognition Algorithms
Authors: Jaiswal R.S. , Sarode M.V. 
Published: May 2018

The world we live in is full of enormous masses of digital visual information. This enormous amount of digital visual information motivates us to develop robust and efficient object recognition technique. Most of the work reported in this paper focuses focus light upon efficient techniques that can be used for recognition of object and its applications. Here in this paper, various techniques for object recognition in an image are discussed.
Design and analysis of attitude control algorithm for low earth orbiting satellite with magnetic torquer concepts using nonlinear unscented Kalman filter
Authors: Raja M. , Ugur Guven Dr. , Om Prakash Dr. 
Published: May 2018

Attitude control system plays the important role for to maintain the satellite to desired orientation. To control the satellite it is necessary to do the attitude stabilization. Attitude stabilization achieved by Star sensor, sun sensor, Earth sensors. Attitude control is mainly use for antenna pointing accuracy, camera focus to earth surface and solar panel pointing toward sun. Due to tumbling effects, satellite will rotate all the direction in the space. To maintain the orientation of the satellite it is necessary to design the attitude determination and control. Satellite consider as the rigid body. Inertia matrix describes the rigid body dynamics. The orientation of the satellite determine by Euler angle and Quaternion. The Low earth orbiting satellite will have enormous amount of aerodynamic drag stinking the satellite body and gravitational attraction another problem. Because of that satellite dwell, time is reduced. It means satellite more time spending particular part of the earth. The attitude estimation is measures by the orientation of vectors. Attitude estimation means to find the position and orientation of flying object with respect to the fixed reference of reference. Vector remains considered in the frame of reference to compute for find the orientation of the body of the satellite in the inertial reference system. The Earth is an inertial reference frame, and Satellite is a body frame. Attitude sensor used to measure the satellite orientation in the reference frame. This will help in accurately predicting the orbit deviation and a control system to correct if any by providing the satellite momentum means â€˜mass in motionâ€™ changes in a body rapidly in Low earth orbit due to centripetal force acting on a satellite. Attitude control system (ACS) need the numerical simulation to find the required torque demand by the help of difference between reference input (Attitude) signal and feedback signal measure by attitude sensor to trim the control surface maintain the actuator required orientation . The results will consist of two parts the first part consisting of the attitude estimation using Euler angle and Quaternion method, second part consist of estimate the control torque from magnetic torquer and error estimation using non-linear filter (Unscented Kalman Filter) with MATLAB simulation.Â Â
Data Analytics on Restaurants
Authors: Sharma Amratansh , E. Poovammal , Joshi Jugal 
Published: May 2018

In the phase of today’s world when data is boosting in myriad amount and the information is on its peak due to digital revolution, it becomes very crucial to handle and manage the data and convert it into useful information so that it can be analyzed well and be productive enough. Whether, its health informatics, business analytics or any domain, data driven decisions are need to be taken which should be accurate and efficient enough to have fruitful impact for humanity and the society. Specifically, in this project the main aim is specifically narrowed down to perform analytics in the restaurant. By observing various trends of data in different categorizations, we will be applying the predictive analytics, data mining techniques and algorithms to analyze the data and come out with innovative suggestions and predictions, which would help to ameliorate the profits of hotels and restaurants business and will serve the demands of customers.
Topology Optimization of Dual Octagonal Array antenna for low frequency applications
Authors: Venu Madhav P , M SivaGanga Prasad Dr 
Published: May 2018

Objectives: Efficient antenna design for use in communication systems is altering the face of the antenna modeling. The ever-increasing demand for portable and efficient antennas is making researchers to develop innovative models [1] using advanced antenna modeling tools that comply with industrial needs and standards. Methods/Statistical Analysis: Antennas with lower operating frequencies have the major constraints on its size, efficiency and gain. Study on matching techniques, feeding techniques was also to be considered.Findings: Micro strip patch antennas offers considerable amount of radiation, low cost when fabricated on FR4, light weight and are conformable to suite any application. This paper projects the design, simulation and testing of a dual octagonal patch, the topology algorithm [3] is used to optimize the size and shape of the patch where octagons are spaced in the form of an array to address optimization on size and fits into wireless applications. Application/Improvements: The proposed model is tested in the standard antenna test bench comprising of microwave integrated circuit analyzer receiver MIC10kit and found to operate at a resonant frequency of 1.8 GHz with good radiation characteristics.
Sign Regressor based Normalized Adaptive Filters for Speech Enhancement Applications
Authors: Girika Jyoshna , Zia Ur Rahman Md 
Published: May 2018

Removal of noise components of speech signals in mobile applications is an important step to facilitate high resolution signals to the user. Throughout the communication method the speech signals are tainted by numerous non stationary noises. The Least Mean Square (LMS) technique is a fundamental adaptive technique usedbroadly in numerouspurposes as anoutcome of its plainness as well as toughness. In LMS technique, an importantfactor is the step size. It bewell-known that if the union rate of the LMS technique will be rapidif the step size is speedy, but the steady-state mean square error (MSE) will raise. On the rival, for the diminutive step size, the steady state MSE will be minute, but the union rate will be conscious. Thus, the step size offers anexchange among the convergence rate and the steady-state MSE of the LMS technique. Build the step size variable before fixed to recover the act of the LMS technique, explicitly, prefer large step size values at the time of the earlyunion of the LMS technique, and usetiny step size values when the structure is near up to its steady state, which results in Normalized LMS (NLMS) algorithms. In this practice the step size is not stable and changes along with the fault signal at that time. The Less mathematical difficulty of the adaptive filter is extremely attractive in speech enhancement purposes. This drop usually accessible by extract either the input data or evaluation fault. The algorithms depend on an extract of fault or data are Sign Regressor (SR) Algorithms. We merge these sign version to various adaptive noise cancellers. SR Weight NLMS (SRWNLMS), SR Error NLMS (SRENLMS), SR Unbiased LMS (SRUBLMS) algorithms are individual introduced as a quality factor. These Adaptive noise cancellers are compared with esteem to Signal to Noise Ratio Improvement (SNRI).
Optimal Block Diagonalization precoding scheme for MU-MIMO Downlink channel Using Particle Swarm Optimization
Authors: Saxena Shivangini , R.P. Singh Dr 
Published: May 2018

As wireless communication turns out to be more common, the interest for higher rates of data transfer and continuous availability is expanding. Future wireless systems are provisioned to be very heterogeneous and interconnected. Higher data rates and Quality of Service (Qos) are two major expectations from any wireless technology. Fading is the main phenomenon which restricts the realization of Qos demand and higher data rates in wireless technologies. Fading is caused by obstacles in signal path which degrades the received signal’s quality. To mitigate the impact of fading on communication system the application of precoding techniques can be used. In this regard, this paper presents optimization of Block-Diagonalization (BD) based linear precoding scheme for multi-user multiple-input multiple output (MU-MIMO) systems. Simulation environment consists of a MIMO downlink scenario where a single base station (BS) with antennas transmits to K receivers each with antenna. The application of Particle Swarm Optimization (PSO) is used to find the optimal number of received antennas so as to reduce system complexity while maintaining Bit Error Rate (BER) performance of the system. MATLAB based simulation scenario is presented and evaluated over Rayleigh fading environment. Simulation results validate that the performance of Block– Diagonalization scheme can be improved up to 5dB with the application of Particle Swarm Optimization technique.
Novel Sgmentation Technique for Synthetic Aperture Radar Target Tracking using Hybrid PSO Method
Authors: Malakonda Reddy B , Zia Ur Rahman Md 
Published: May 2018

In remote sensing applications, it is evidently electromagnetic imaging has more advantages than optical imaging due to its horizon. In such a contest synthetic aperture radars (SAR) plays a vital role. In SAR image processing, segmentation is a key step in identifying and tracking targets, terrain features. Hence, this paper, we present an Improved hybrid PSO method proposed based on multilevel threshold for enhancing the image for segmentation. Experimental results indicate, the proposed methods enhance the edge features effectively with compare to Otsu, Modified Otsu and Region Based Active contour methods.
Land cover classification using landsat-8 optical data and supervised classifiers
Authors: V. Ramana Rao K , P. Rajesh Kumar Prof 
Published: May 2018

Land use and land cover information of an area has got importance in various aspects mainly because of various development activities that are taking place in every part of the world. Various satellite sensors are providing the required data collected by remote sensing techniques in the form of images using which the land use land cover information can be analyzed. Constistency of Landsat satellite is illustrated with two time periods such as Operational Land Imager (OLI) of 2013 and consecutive 2014 procured by earth explorer with quantified changes for the same period in visakhapatnam of hudhud cyclone. Since this city is consisting of mainly urban, vegetation, few water bodies, some area of agriculture and barren,five classes have been chosen from the study area. The results indicate that due to the hudhud event some changes took place. vegetation and built-up land have been increased by An increase of 19.1% (6.3 km2) and 11% (5.36 km2) has been observed in the case of vegetation and built up area where as a decrease of 1.2% (4.06 km2), 6.1% (1.70 km2) and 1.2% (0.72 km2) has been observed in the case of agriculture, barren land, and water body respectively. With the help of available satellite imagery belonging to the same area and of different time periods along with the change detection techniques landscape dynamics have been analyzed. Using various classification algorithms along with the data available from the satellite sensor the land use and land cover classification information of the study area has been obtained. The maximum likelihood algorithm provided better results compared to other classification techniques and the accuracy achieved with this algorithm is 99.930% (overall accuracy) and 0.999 (Kappa coefficient).
Optimize Transmission of Image over Integrated Mobile WiMAX and WiLAN Network
Authors: More Anant R. , Vishal A. Wankhede , Prasad M.S.G. 
Published: May 2018

The problem of multiuser downlink resource allocation in Mobile WiMAX system was studied. Three different network scenarios considered for the transmission of image data. Resource allocation is done using Active Set Optimization and Genetic Algorithm, for all the three network scenarios. Simulation results show that information fed back and association among subcarriers play vital role to improve system performance. As compared to reduced complexity, resource allocation using Active Set Optimization and Genetic Algorithm seems especially attractive as the number of users increases for Image Data. It is observed through simulation that the System using Genetic Algorithm performs better than Active Set. Linear Resource Allocation in terms of significantly decreasing the computational complexity and achieve higher capacities, while being applicable to a more general class of systems. As Genetic Algorithm follows constraints of Stochastic processes it didn’t give results highest in all Experiment Conducted. It is also observed that for Integer-Binary Objective function Performance of Genetic Algorithm is not that much satisfied because of its stochastic processing. Also processing time required to reach final optimize variables values is too much.
An efficient magnetic resonance brain image classifier using tetrolet transform and kernel support vector machine based on OTSU binarization
Authors: M. Vasim babu Dr , Aparna D , Subhasri B , Mounika E , Chowdary.K Hema 
Published: May 2018

Classification of tumor from cancer causing to non-cancer causing, it plays a main role in diagnosing the disease effectively without any flaws. In this proposed paper, a novel methodology is presented in order to classify a given Magnetic resonant brain image as normal or abnormal using OTSU binarization segmentation with help of tetrolate transform. By replacing wavelet transform with tetrolate transform the classification is made efficient in case of images with geometric shapes. A good number of features are extracted by using OTSU binarization from edge-based segmentation, the more number of features makes the classification for effective and accurate. The image is finely segmented pixel by pixel for good accuracy and about 12 features like We calculate four different type of accuracy like RBF (Radial Basis Function), linear, polygonal and quadratic based on image features. We performed our proposed methods with four different kernels LIN (Linear), HPOL (Homogeneous Polynomial), and IPOL and GRB (Gaussian Radial Basis function) kernel to achieve the highest classification accuracy. The work is added with advancement by using Graphical user interface (GUI), which makes the user comfortable in accessing the method where most of the users are from clinical background and are not aware of any software and their usag.
Analytical and Experimental Study on Composite Deep beams with Rolled section reinforcement
Authors: Pavani Konuri , Harsha G. Sri 
Published: May 2018

An experimental study was conducted on three RC Deep beams along with Analytical simulation under three point loading in which one specimen was provided with Rolled section reinforcement. The specimens are designed according to IS 456:2000 . In one specimen the total reinforcement area was replaced with rolled I-Section. Steel plate grade of MS250 of 3mm thickness was molded as rolled I- Section. Various parameters like flexural behavior, shear strength, deflection, crack width, stress and ductility were calculated. For improving the bond strength between steel section and concrete in composite member, shear struts are provided. The length to depth ratio (l/d) was 1.875 and shear span to depth ratio (a/d) was 0.75. Finite element simulation was carried out by using ANSYS 18.1. and comparison was made in between Analytical and Experimental results.
Provide a secured automatic program algorithm for DNA sequence storage arrangement in cloud
Authors: Geetha G , Surekha G , Aditya Sharma P , Uma Shankari E 
Published: May 2018

The primary target of this paper is to provide a secured implementing algorithm for hiding DNA sample sequence data confidently by using special software in cloud computing environments. The suggested algorithm here for hiding DNA sequences is based on binary coding and complementary pairing rules. Hence DNA reference sequence is taken as a sample secret data with a notation of M. But after applying some steps the final result obtained in cloud environment is M’’’. The procedure of identifying or extracting the original data M from the hidden DNA Reference sequence is depended on the user if and only if the user wants to use the data for process. Likewise there are security issues for the manipulating from claiming information. In this way that accessible user’s information arrangement may be isolated under SPs in such a way that it has to reach minimum number of specified threshold SPs number from the whole data block. In this paper, we recommend A low cost secured and multi- cloud storage (SCMCS) model over cloud computing which holds an prudent appropriation about information Around the accessible SPs in the market, with gatherings gives client information accessibility and additionally secure capacity.
Factors of employability skills of engineering graduates: An analytical study using Friedman Test Multiple Regression
Authors: Roja Rani V , Kishore Babu M 
Published: May 2018

Employability skills and placement rate becomes the buzz words to bench mark for the quality of engineering education among the technical institutes in the country. The gap between pass out ratio and placement ratio among the engineering graduates is alarming and indicating the poor levels of skill set of the engineers. The reasons for the same are many and multifold. The present paper is focused on studying the role of personal factors, life skills factors, teaching and learning factors, and evaluation systems and improvement practices environment in the employability of the engineering graduates from Hyderabad city. For the purpose of the study, selected students from the engineering colleges in the city are drawn as sample using judgment sample method. The study is descriptive and exploratory in nature. The sample size for the study is fixed at 600 and the final analysis is done with 512 samples. The data required for the study is collected through a pretested structured questionnaire. All the students are from eighth semester and appearing for placements. Some of the students are already placed and waiting to complete the course. The combination of the experiences in the interviews and the skill gaps observed in the self assessment is presented.The study results reveal that, life skill factors, teaching learning and evaluation systems are highly important in employability skills of the engineering graduates. The relationship between the employability and the selected variables are highly significant at 1% level of significance. A structured practical sessions and application oriented training along with practical sessions and strict evaluation systems along with options for improvement can help the students to realize and learn the required skills and there by improved level of employability among the engineering graduates in the sample. Further, it indicates the need for revamping the old pedagogy and adoption of new ICT and CTT in teaching learning processes can help in resolving the issue at the earliest possible time. The role of a teacher can never give up in training and molding the young graduates of any selected field of study. The teacher issues in this sector needs a special care and concern to get the improved level of professional deliverables and service quality among the technical institutions in the field.
Secure message exchange using text to image encoding
Authors: Barik Swastik , Manikanta Sai J , Prasannanjaneyulu Reddy Ch , Kalyan Chakravarthy P 
Published: May 2018

The work focuses mainly on data security problems while transferring data through a network, using text-to-image encryption. This approach creates an image out of the textual data using steganography, which allows the sender and the intended recipient to hide their confidential data while transmitting through the network. First, binary representations of the text data are made, then the binary data is used to create an image by using it as pixel intensities. This image is then merged with a colour image to obtain the final encrypted image. The main objective of the work is to demonstrate an encryption scheme that is reliable and easy to implement.
Light weight encryption algorithms for wireless body area networks
Authors: Radhika Rani CH , Sai Jagan Lakku , Lakshmi Harika Ch , V. Durga Ravali Amara V 
Published: May 2018

Wireless Body Area Network (WBAN) emerges as a major network in today’s world. WBAN comprise of sensors used for applications like health monitoring, military, etc. These sensors are embedded within or out of the body. Security is a major factor in WBAN’s and hence it is essential to provide security for patient’s data. So we study about various encryption algorithms in this paper to provide security. The WBAN comprise of body sensors in which the energy resources are limited and since consumption of energy will be more it is essential to go for light weight algorithms to provide security and decrease energy consumption.