bluuebunny/crossref_metadata_2025 huggingface dataset:
Secure and Efficient Query Processing Using Randomized Encryption and De-duplication on the Cloud
Authors: Lalita Kumar Parvataneni Mohith , Sai Nath Adusumalli Eswara , C Rajeshbabu.
Published: May 2018

Cloud computing [1] is the most upcoming area of the IT industry that helps the users to get rid of the hardware resources and complexity in storage and computational power. All the people started using cloud which led to many security concerns relating to the data confidentiality and integrity. This became a challenge to the widespread of the new cloud computing technology. Many measures are taken to improve the cloud security and then there came the concept of cryptography to upgrade the cloud security. Today, the main problem is to sustain data privacy [2] against unreliable cloud service providers and to provide correct query results to the authenticated users. Existing approach provide confidentiality using only one symmetric encryption algorithm which generates only one secret key to both encrypt and decrypt. But this is not so secured as the attacker can easily guess the algorithm and thereby find the key. In this journal, we proposed a randomized encryption technique in which the files are randomly encrypted by three strong algorithms AES, Triple DES and Blowfish [3] which improves the security and we are also implementing new techniques to improve security like key generation via OTP method, etc. In addition to this, we are also going to solve the storage issue of redundant or duplicate files consuming the cloud storage by using a file-level de-duplication technique which can eliminate the duplication of files uploaded into the cloud, thereby saving storage and reduce the need to buy extra storage.
Extraction of Hand Gesture Features for Indian Sign languages using Combined DWT-DCT and Local Binary Pattern
Authors: K Muthukumar. , S Poorani , S Gobhinath
Published: May 2018

The Hand Gesture system is based on two modes, viz, Enrollment mode and Recognition mode. In the enrollment mode, the Hand features are acquired from the camera and stored in a database along with the Sign languages. In the recognition mode, the hand features are re-acquired from the camera and compared against the stored Indian sign language data to determine the exact signs. In the pre-processing stage, two segmentation processes are proposed to extract the region of interest (ROI) of hand gesture. The first skin-color segmentation is used to extract the hand image from the background. The second region of interest of the hand gesture is segmented by using the valley detection algorithm. The Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are applied for the purpose of extracting the features. Further, the Sobel Operator and Local Binary Pattern (LBP) are used for increasing the number of features. The mean and standard deviation of DWT, DCT and LBP are computed.
Managing Irrigation in Indian Agriculture Using Fuzzy Logic – A Decision Support System
Authors: Suruthi N , Saranya R , Subashini S , Shanthi P , Umamakeswari A
Published: May 2018

Supplementation of water for irrigation in needed in south India due to uncertainty of monsoon rainfall. This paper proposes a support system to manage the irrigation system based on the information provided by humidity, temperature, soil moisture and weather information. The temperature, humidity and soil moisture data were collected by sensors. The proposed ANFIS based system consists of N inputs and a single output which determines the irrigation time needed for the crop. The experimentation is carried out using real time data collected from the region of VALLAM, located near THANJAVUR. The result helps in determining the time for irrigation which helps in increasing the yield of the crop.
Transient Behaviour of a Microgrid and Its Impact on Stability during Pre and Post Islanding -A Novel Survey
Authors: Chitra N , Sivakumar P , Priyanaka S , Devisree D
Published: May 2018

Over the last 2 decades, significant advancement has been made in microgrid. The stability on microgrid will talk about issues relating to intentional and unintentional islanding conditions. Having observed the recent literature, the growth of inverter interfaced Distributed Generation with microgrid cases a pressing issue in stability. To symbolise the significance of stability, this article carries out an extensive review about the problems in transient stability and detailing the steps taken by various authors that lead to the system stable. To date there are lots of work in analyzing system stability in microgrid. From which this article focuses about the various stability issues and maintaining it different control techniques are reviewed
Efficient Mining and Recommendation of Extensive Data Through Collaborative Filtering in E-Commerce: A Survey
Authors: Naveen N , Ganesh Kumar S
Published: May 2018

E-Commerce is the most widely used technique nowadays. Buying and selling goods on the Internet has been most admired and frequently utilized. The humongous growth of the content available on the internet has made laborious for users to search and utilize information for classifying the products. Recommendation system regarded as the best way to help the customers in buying the related products. (GRS) group recommender system aims at enhancing the customer’s benefits for buying the products. This paper summarizes the fuzzy tree matching, modeling user preference dynamics, web page recommendation, uncertainty analysis for keywords, recommender system application, temporal topic model for friend recommendation, autocratic decision-making system based on (GRS),modeling user recommender, evaluating recommender system and enhancing (GRS).
Complex Number Vedic Multiplier and its Implementation in a Filter
Authors: Saraswathi N , Modi Lokesh , Nair Aatish
Published: May 2018

Complex numbers multiplication is a fundamental mathematical process in systems like digital signal processors (DSP). The main     objective of complex number multiplication is to perform operations at lightning fast speed with less intake of power. In this paper, the best possible architecture is designed for a Real vedic multiplier based on the ancient Indian mathematical procedure known as URDHVA TIRYAKBHYAM SUTRA i.e. the structure of a MxM Vedic real multiplier architecture is developed. Then, a Vedic real multiplier solution of a complex multiplier is presented and its simulation results are obtained. The MxM Vedic real multiplier architecture, architecture of the Real Vedic  multiplier solution for 32 x 32 bit complex numbers multiplication of complex multiplier and the architecture of a FIR filter has been code in Verilog and implementation is done through Modelsim 5.6 and Xilinx ISE 7.1 navigator.
Re-thinking River Diversion Projects- A Political Ecology Perspective
Authors: Singh Neha , Mishra Neeraj , Murugesan Vignesh
Published: May 2018

The usage of pipelines to make water available to people has been widely discussed phenomenon throughout the world. Less argued are the projects which divert tributaries from larger rivers via small diversion channels for the sake of short-term goals that work around natural waterscape. River Khan is one such smaller stream which accumulates the entire waste of Indore city and has been diverted from its larger stream River Kshipra in the wake of KumbhMela 2016, to keep the larger stream clean. In this context, the paper investigates the discrepancies of this project and identifies the political and economic forces involved in the formation of such projects during events like KumbhMela. Using the theory of political ecology, the paper attempts to understand the complexities surrounding environment and development. Through government policies and influence of material conditions on culture, the paper also explores the unfair relations amid societies that influence the natural environment.
Three Level Optimization Models of Scaled Gabor Features for Facial Expression Recognition
Authors: . Neha , Mathur Pratistha
Published: May 2018

The area of computer vision and machine learning for pattern recognition has witnessed the need for research for the development of algorithms for different applications such as human-computer interaction, automated access control and surveillance. In the field of computer vision Facial Expression Recognition has attracted the researcher’s interest. This paper presents a novel feature extraction technique: Gabor-Average-DWT-DCT for automatic facial expression recognition from a person's face image invariant of illumination. Facial Emotions have different edge and texture pattern. Gabor filter is able to extract edges and texture pattern of faces but with problem of huge dimension and high redundancy. The problem of huge dimension and high redundancy is reduced by proposed Average-DWT-DCT feature reduction technique in order to increase accuracy of system. Proposed Gabor- Average -DWT-DCT provides a compact feature vector for reducing response time of system compared to existing Gabor based expression classification. Detailed quantitative analysis is done and results that the average recognition rate of proposed technique is better than state of art results.
Improved Query Processing in Web Search Engines Using Grey Wolf Algorithm
Authors: Pal Nishant , Chawla Akshat , Meena Priyadharsini A
Published: May 2018

In Information systems working at a large scale where retrieval of information is an essential operation for example search engines etc. The users are not only concerned with the quality of results but also the time they consume for querying the data. These aspects lead to a natural tradeoff in which the approaches that lead to an increase in data have a similar larger response time and vice-versa. Hence, as the requirement for faster search query processing time along with efficient results is increasing, we need to identify other ways for increasing efficiency. This work proposes an application of the meta-heuristic algorithm called Grey Wolf Optimization (GWO) algorithm to improve Query Processing Time in Search Engines. The GWO algorithm is an alter ego of the way in which the grey wolves are organised and their hunting techniques. There are four categories of  grey wolves in a single pack of grey wolves which are alpha, beta, delta, and omega respectively. They are used to work in a simulating hierarchy. These help achieve better search results at decrease query response timings.
A survey on Predictive Analysis in Employment Trends
Authors: Radhakrishnan Nita , Awasthi Mehul , Mahalakshmi P
Published: May 2018

This paper addresses the theories of using predictive analysis and Data Mining in arriving at suitable patterns and predicting paths and trends in the current Employment Scenario more specifically to the Engineering sector. India produces 1.5 million engineers every year, and yet there is a significant gap between their skills and the jobs and corresponding salaries they are offered. Recognizing the factors that inﬂuence this gap can help us bridge it. The survey shows that the ideal route to doing so, is by employing various Predictive analysis and Data Mining techniques on appropriate data sets, which help in addressing these issues. As per the survey, appropriate visualization techniques have also been used to extract the meaning from the prediction and analysis.
Improving Optical Character Recognition Techniques
Authors: Ramesh Nitin , Srivastava Aksha , Deeba K
Published: May 2018

Document text recognition uses a concept called OCR (optical character recognition),which is the recognition of printed or written text characters by a computer. This involves scanning a document containing text, and converting character by character to their digital form. Thus, it is defined as the process of digitizing a document image into its constituent characters. Equipment used to obtain clearer images for analysis are cameras and flatbed scanners. Even though it’s been out in the world since 1870, the OCR technology is yet to reach perfection. This demanding nature of Optical Character Recognition has made various researchers, industries and technology enthusiasts to divulge their attention to this field. In recent times one can notice a significant increase in the number of research organizations investing their time and effort in this field. In this research, the progress, different aspects and various issues revolving in this field have been summarized. The aim is to present a scrupulous overview of various proposals, advancements and discussions aimed at resolving various problems that arise in traditional OCR.
Identifying the Node Presence Mobile Wireless Networks to Provide Location Based Services
Authors: Phanindra Kumar Reddy P , P.Singh S
Published: May 2018

Based on spatial and fleeting enormous information, location-based services (LBSs) get significant consideration because of their capability to make urban areas more brilliant. In any case, LBS gives the usefulness by extricating individual information from clients, which may bring about security spillage chance, for example, interruption, robbery, and unapproved offer of touchy data. Consequently, the mass piece of the pie of LBS relies upon the security of subjects ensured. Particularly contemplate the security threats in LBSs. Characterizing distinctive sorts of LBSs and investigating security spillage introduced every kind. In the wake of outlining the best in class chip away at location protection and question security, we propose an inquiry content safeguarding method with the point of furnishing precise LBS reply with null server learning on questions. At long last, we demonstrate some open issues that may develop future research on LBS insurance preservation.
Strength and Durability Studies on Geopolymer Recycled Aggregate Concrete
Authors: Saravanakumar P
Published: May 2018

This paper aims to study the engineering and durability properties of fly ash-based geopolymer recycled aggregate concrete and the results were presented in this paper. The addition of recycled coarse aggregate (RCA) retrieved from construction and demolition(C&D) wastes showed promising function in construction industry as an alternative to natural aggregates. It conserves enormous quantities of natural resources and reduces the space required for the landfill disposal of C&D wastes. In this study an increment of 25% partial replacements by weight of natural aggregates with recycled aggregates in geopolymer concrete up to 100% replacements were studied. The concrete containing virgin aggregate and ordinary Portland cement was consider as control concrete and the results of geopolymer recycled aggregate concrete (GP-RAC)  were compared with this. The fresh and mechanical properties of all the above four concrete mixes has been investigated. Results indicated that workability of geopolymer concrete decreases than control concrete and it took more than 24 hours to set. Geo polymer based recycled aggregate concrete exhibits better strength and durability performance than ordinary recycled aggregate concrete.
Automatic Material Segregation Using PLC
Authors: Elamurugan P , VinothBresnav K , Abirami D , G.Suhirdham K
Published: May 2018

At the present timeunusedghettoizationindications a vivaciousstarring protagonist in discardedsupervision system. The inappropriateapartheid of variegatedsurplus that split ends up in landfills sort out not fadingas it ought to be. This red-top grants knowledge of ghettoizing the substantial inevitably concluded the assistance of programmable logic controller (PLC). This treasure troveobliging to moderate the manual maneuver in the progression of reconditioning the alienatedquantifiable such in place ofpewter, cut-glass, malleable and supplementary devises crumpled consuming the air-filled piston. The dissimilar capacitive, proximity sensors etc. devours engaged in the process. The reprocessed product which partakes per received mutable byproduct. The sensible stirring on a conveyer belt intuited by the relevant sensors segregated into poles apartcontainers using a gearing contrivance. The entire component partakes organized by a programmable logic controller (PLC) staysencodedthroughPLClanguage by means of ladder logic.
A Novel Hybrid Particle Swarm- Multiverse Optimization based Voltage Stability Improvement in IEEE 57 Bus System
Authors: K.Dhal P , Ramash Kumar K
Published: May 2018

The major role of power system is voltage stability. It is required to plan properly and smooth operation and control. It presents a new approach of voltage stability improvement in IEEE 57 bus system using hybrid algorithm. The hybrid algorithm (PSO-MVO) is combination of PSO which is used for exploitation and MVO used for exploration. It is used in an uncertain environment. The FACTS device as STATCOM is connected in IEEE 57 test system to check for event of voltage stability improvement through power system analysis tool (PSAT) software. Once the ability of system goes through sudden loading, its stability gets affected. It desires compensation to boost voltage from disturbances. The varied operative condition while not used STATCOM in the system, used with STATCOM tuned by PSO-MVO algorithm are measured judge the performance of the projected system. The hybrid PSO-MVO technique is implemented in this paper to solve the proposed problem. The simulation results are obtained by PSAT software for 57 IEEE bus systems. The hybrid algorithm validates its effectiveness compare to individual PSO and MVO algorithm.
Hexapod Performance
Authors: Thirumalesh Priyanka , Malarvezhi P , Mahato Ankita , Choudhury Meghna
Published: May 2018

The purpose of this project is to build a six legged walking robot, which is able to perform basic tasks like walking in the forward direction, backward, moving it’s body up and down and rotating. This project involves designing the hexapod on CAD software Solid Works followed by fabrication and required electronic connections and testing. Due to the stability and its wide flexibility to move in irregular surfaces, hexapod can be very useful in the zones where the natural disasters and also in the aftereffects of the war scenario. The complexity and performance of the hexapod can be widely increased by adding additional sensors and also it can be modified in such a way that it can be used in fields of defense, manufacturing automation and can widely replace the humans in hazardous environment.
Detection of Microaneurysms and Hemorrhages in Fundus Image for Glaucoma Diagnosis
Authors: Shanthi R , Prabakaran S
Published: May 2018

Eye is the most sensitive and valuable organ of vision which helps us to visualize the world around us. Due to the high pressure in the eye, the optic nerve fails to transmit the signal to the brain; such a disorder is called Glaucoma. Detection of Microaneurysms and Hemorrhages are validated from the fundus image. To extract the shape features Morphological image flooding is used. In this approach, candidate regions are first segmented, Feature Extraction is done by Dynamic Shape Features. Further the classification process is carried out using Random Forest (RF) classifier method. The process of screening is evaluated on publicly available database Diaretdb1 with the resolution of 1152 x 1500 pixels for both healthy and abnormal images. The performance of segmentation in this method is evaluated in terms of sensitivity, specificity, and segmentation accuracy. In future, this methodology can be applied to larger clinical dataset in order to detect the disease at the maximum level.
Closed loop Fuzzy Logic Controlled Interleaved DC-to-DC converter Fed DC Drive System
Authors: Elavarasu R , Christober Asir Rajan C
Published: May 2018

This paper deals with comparison of responses of PI and Fuzzy Logic controlled DC-to-DC converter Fed DC motor (FLCDDCDCM) systems. The DC input is converted into high frequency AC using full bridge inverter. The output is stepped up using a transformer and then it is rectified using voltage doubler rectifier. The open loop system with T filter at the output is simulated. The closed loop PI & FLC based DDCDCM systems are designed, modeled and simulated using Matlab/Simulink. The time domain parameters of FL controlled system are compared with those of PI controlled system. The results indicated that FL controlled DDCDCM system has better response than PI controlled DDCDCM system.
Real Time Environment Simulation through Virtual Reality
Authors: Maheswari R , Sheeba Rani Gnanamalar S , Gomathy V , Sharmila B
Published: May 2018

The primary objective of the work is to develop a simulation which changes its environment based on the outside environment. This is done by getting the input from the sensors and sending it to the cloud platform and then getting the sensor data into the simulation and changing the environment of it.The aim of the work is to design an embedded device which could collect sensor values of environment defining variables like pressure, temperature, altitude and amount of light and use it accordingly to change the environment of the simulation. This was achieved by constructing embedded device which relies on sensors to transmit the reading of environment defining factors to a cloud services provided by Thinkspeak platform. These reading are archived and can be accessed by the android application to change its environment.
Smart Cluster Communication Integration and Architecture
Authors: Babu Natha Rajesh , Sreenivasa Ravi K
Published: May 2018

In the present day modern world, most of the people are making use of the technology in many ways which made man feasible to complete his tasks at very low time. In this aspect of digitalization, almost all the levels of the society is able to use the services of modern technology like wireless communication, Information Storage and transfer. In this aspect, an emerging medium for smart solution is LPWAN. It uses LoRa communication protocol for Information Interchange. This paper deals with the architecture of smart clusters of cities and solutions to some problems like Public safety, Pollution, Traffic management, Parking Solutions.
Non-Linear Static Analysis of Off-Road Vehicle Cabin ROPS Structure Using Finite Element Method
Authors: Kumar. T Rajesh , R Haridass , N V Dhandapani , M Dinakar
Published: May 2018

The passive safety of operator is an important parameter to be evaluated when an automotive is considered. During life-threatening situations like vehicle rollovers, the safety of the operator can be ensured by the design of protective structure. The protective structure that safeguards the operator, is either an integral part of the cabin of the operator or an external structure outside the operator’s compartment. The major accidents occurring in military, construction and mining operations are disastrous due to absence of this structure. Thus an effective ROPS (Roll Over Protective structure) along with the corresponding FOPS (Fall Over Protective Structure) can be used for saving lives.
An Analysis of Automatic Voice Recognition and Speaker Identification Algorithms and its Applications
Authors: Sethuraman Ram , Selvin Paul Peter J , Reddy Middela Shanthan , . .
Published: May 2018

Voice recognition is the domain which is used to identify the speaker behind a speech through their voice. In the field of research, Voice recognition is a domain which has been widely explored by data mining experts and used for various applications. The features of the voice are extracted through methods like MFCC and then various Data Mining and Machine learning algorithms are applied for each specific application. Researchers have explored and tested the efficiencies of various algorithms for various purposes. There appears to be specific algorithms which outperform the rest in certain applications whereas they tend to perform badly for certain other applications. This paper aims to discuss the various Voice recognition techniques and its uses in various domains. The work aims in providing the characteristics and limitations of these approaches.
Smart Recommendation System for Off-the Shelf Medicines
Authors: Sathappan Ratna , Sai Indira Tholu , Meenapriyadarsini A
Published: May 2018

Internet usage has been at an all-time high from 2000’s vintage years. The people who have access to the internet use it for numerous reasons such as social networking, marketing, promoting, enhancing businesses, consultancy, research, gaming and the list goes on. In the recent years, Review websites have flourished, where people share their opinion about a product, with an increase in response rate and reliability. Recommendations are made by mining data from review websites. Traditional Recommendation systems are limited as they only consider certain metrics, such as product purchase details, product category. Recommendation systems are yet to gain popularity in the medical field. These days most patients are unable to figure out the medication that works in healing them in the best way possible, hence they turn to review websites in order to obtain a second opinion on the prescribed medication. In this work, we have developed a smart recommendation system for off-the Shelf Medical Drugs using machine learning and data analytics based on patient feedback. The patient feedback is unstructured data which is processed using data analytic tools. After which machine learning is used to recommend the best fit and compare the drugs. In this work, we predict the impact of a drug/ medicine on the patient to whom the medication was prescribed, using data mining techniques. Firstly, we detect the user’s polarity (positive/ negative/neutral) based on the patient feedback for a certain drug using sentiment analysis and opinion mining following which we use machine learning algorithms to track sentiment variation and to make a recommendation based on user polarity
Intelligent Decision Support System for Home Automation - ANFIS Based Approach
Authors: K Reena , Venkatesh Veeramuth
Published: May 2018

Internet of Things (IoT) deals with the idea of remotely multiplexing and monitoring real-world things via Internet. This idea can be incorporated at home appliances to make it smarter, safer and automated. This design focuses on constructing a smart, wireless home security system that gives alerts to the respective user through the Internet. This paper gives a smart decision support system to various home automation services using fuzzy logic. The proposed system is built on Adaptive Neuro-Fuzzy Inference System (ANFIS). It’s a kind of artificial neural network that is used here for deciding on the changes taking place in the sensing unit. Through this simple method, various parameters such as temperature level, light intensity and human presenc eare monitored and controlled.
Object Detection Using Support Vector Machine and Convolutional Neural Network - A Survey
Authors: Khosla Rishi , Singh Yashovardhan , Balachander T
Published: May 2018

Mobile Technologies have been in trend for quite some time and with the advances in machine learning, they have become more powerful. Computer Vision, Computational Analysis and Computer Graphics have changed over the course of time. In this Project, our aim is to figure out the domains in which Machine Learning can be applied to enhance the capabilities of a Mobile Device which would lead to a better and sustainable mobile user experience.  The models we would use are a convolutional neural network (CNN), support vector machine (SVM) and scale-invariant feature transform (SIFT). This project uses the real-time image from a mobile device and does the classification and detection with the help of Tensor Flow and provides the result with a confidence score.
Survey on Efficient Use of Spatial Reusability in Multhop Wireless Network
Authors: Murugaveni S , Mahalakshmi K
Published: May 2018

The present wireless routing protocols does not increase the end-to-end throughput by reducing the number of hops to deliver a single packet from a source to a destination node. To maintain the proper link among the nodes in multihop wireless ad-hoc networks, the medium access control (MAC) protocol plays a vital role. The spatial reuse and throughput of a multihop network is greatly affected in assessing the level of interference, channel sharing was not expeditiously utilized by the prevailing methodology of the IEEE 802.11.Routing protocols are generally depends on transmission cost, minimizing routing metrics. But they fail to give assurance for increasing end-to-end throughput. The existing protocols don't take spatial reusability of the remote correspondence media into account. This paper overviews numerous techniques to upgrade the effective channel use by enhancing the spatial reuse.
An Improved Bi-Level Thresholding Based Uncertainty Evaluation for Speech Enhancement in Non-Stationary Noises
Authors: Nageswara Rao S , Jaya Sankar K , D. Naidu C
Published: May 2018

This paper proposes a new speech enhancement framework to improve the quality of speeches recorded under adverse acoustic environments based on the speech presence uncertainty. Since the uncertainty evaluation gives a more and clear discrimination about the speech and noise, this paper proposes a new uncertainty evaluation mechanism as a preprocessing mechanism to the noise suppression methods.  This mechanism relates with energies of a noisy speech signal and classifies the speech segments and noise segments more perfectly. In addition to the quality enhancement, this approach also reduces the unnecessary computational burden over the speech processing system. Extensive simulations are carried out over the speech signals with different types of non-stationary noises like babble noise, exhibition noise, restaurant noise and train station noises and the performance is measured with the performance metrics namely the Output SNR, AvgSegSNR, PESQ and COMP. The comparative analysis of proposed approach over the conventional approaches shows an outstanding performance in all environments.
Formation and speciation of Sullage Water Natural Conduct analysis of Fuzzy logic Application by Solar Distillation
Authors: Shanmugan S , P Selvaraju , Karthickeyan M , Saravanan A , Akash Kanna G , Ranjith Raja V
Published: May 2018

The recital analysis of thermal techniques for sullage water treatment and fuzzy logic techniques are used to harvest clean water, drinkable water (H2O), fertilizer, ash impurity adding with cement from sullage water by using the energy of the sun. The experimental analysis of sullage water process is implemented of strong luminous that diurnal with weather condition in Vel Tech Multi Tech Dr. Rangarajan Dr Sakunthala Engineering College. It is an innovation to reduce the fluid waste and called water quality conversion. The suspended fluid waste changes the excellence of pure water and ash by thermal and fuzzy logic techniques. In this work is to analyze and compare between pure water and sullage water. It is analyzed of one of the days in the system have been given the 24 hr cycle, the total drip production of the proposed system is found to be 7.324 kg/m2day and without drip 4.952 kg/m2day and Overall efficiency is 36%.
Design of Low Power UWB CMOS Low Noise Amplifier using Active Inductor for WLAN Receiver
Authors: Manjula S , Malleshwari M , Suganthy M
Published: May 2018

This paper presents a low power Low Noise Amplifier (LNA) using 0.18µm CMOS technology for ultra wide band (UWB) applications. gm boosting common gate (CG) LNA is designed to improve the noise performance.  For the reduction of on chip area, active inductor is employed at the input side of the designed LNA for input impedance matching. The proposed UWB LNA is designed using Advanced Design System (ADS) at UWB frequency of 3.1-10.6 GHz. Simulation results show that the gain of 10.74+ 0.01 dB, noise figure is 4.855 dB, input return loss <-13 dB and 12.5 mW power consumption.
An Atrial Fibrillation with Normal Limits using Signal Processing- A Review
Authors: Sathish S. , Mohanasundaram K
Published: May 2018

Atrial fibrillation is an irregular heartbeat (arrhythmia) that can lead to the stroke, blood clots, heart failure and other heart related complications. This causes the symptoms like rapid and irregular heartbeat, fluttering, shortness of breath etc. In India for every around 4000 people eight of them are suffering from Atrial Fibrillation. P-wave Morphology.  Abnormality of P-wave (Atrial ECG components) seen during sinus rhythm are associated with Atrial fibrillation. P-wave duration is the best predictor of preoperative atrial fibrillation. but the small amplitudes of atrial ECG and its gradual increase from isometric line create difficulties in defining the onset of P wave in the Standard Lead Limb system (SLL).Studies shows that prolonged P-wave have duration in patients (PAF) In this Study, a Modified Lead Limb (MLL) which solves the practical difficulties in analyzing the P-ta interval for both in healthy subjects and Atrial Fibrillation patients. P-Ta wave interval and P-wave duration can be estimated with following proposed steps which is applicable for both filtered and unfiltered atrial ECG components which follows as the clinical database trials. For the same the p-wave fibrillated signals that escalates the diagnosis follows by providing minimal energy to recurrent into a normal sinus rhythm.
IoT Driven Vehicle License Plate Extraction Approach
Authors: Sheeba Rani Gnanamalar S , Maheswari R , Sharmila B , Gomathy V
Published: May 2018

The objective of the research paper is to capture the design a Vehicle Number Plate Identification System which can be used to identify and read the license number of any vehicle. The basic process involves taking the image of the front/rear of the vehicle which then gets processed and ultimately the number gets displayed on the LCD. This system can be used for a wide variety of installations and establishments such as entry points of schools, colleges, offices and parking spaces. The camera takes an image which is then processed in PC. The result achieved from this is the license number of the vehicle which is then transmitted via the Wi-Fi module and ultimately displayed on the LCD. The hardware especially can be made more rugged and compact so as to handle all the elements of nature and various environments that it can be used in.
Embedded Design in Synchronization of Alternator Automation
Authors: Sheeba Rani S , Gomathy V , Geethamani R , Khan.R Rameez , Raj.D Mohan
Published: May 2018

In this paper, a new method for automatic synchronization of alternator has been developed without the necessity of manual interpretation. Any Alternator can be connected automatically to the infinite bus bar with this developed control unit. The phase voltage, phase angle, phase sequence and frequency of the incoming alternator is compared with the reference infinite bus bar with the help of various sensing modules and interpreted by microcontrollers. If the conditions are observed to be optimistic then automated synchronization is done with a prior indication. The system is entirely automated and works entirely on LabVIEW environment. This synchronization technique is cost-effective, reliable, fast and precise to be used for measurement, control, monitoring and parallel operation of alternator. This research is made to overcome the drawbacks of manual methods of alternator synchronization.
Debris and Eutrophication Control for Industrial Environmental Monitoring Using IoT
Authors: Subramanian S , Vinodhini M
Published: May 2018

Pollution is the major concern of all the nations of the world, especially developing countries. From that air pollution and water pollution is due to industrial and automobile exhaust. multitude sensors that can be set in microcontroller. It can be monitoring the water parameters and gas range in industries. This presentation based on not only monitoring the range of ph value and gas range that release from industry and also control the pollution in order to shutdown the power in industry.
Implementation of Parallel Execution Algorithm on Multiple Drives using PLC
Authors: Jayendran Sangita , Aruna Priya P
Published: May 2018

Drive is one among the very vital equipment in any power industry which require continuous monitoring and inspection at frequent intervals. And this paper deals with the implementation of parallel execution of multiple drives using Programmable Logic Controller (PLC).  We have designed the ladder code using Add on Instructions (AOI) which is the most used feature of RS Logix 5000. For the operation of each axis of a drive we require an instance of the AOI in the main routine. At every phase the failure mechanism is also added in order to take care of the failed conditions. Parallel execution of multiple drives can reduce the execution time by a huge a margin.
An Image Steganography using Particle Swarm Optimization and Transform Domain
Authors: MK Sanjutha
Published: May 2018

As information technology is growing tremendously, one of the major concern is information security. A technique called image steganography is used to provide better security and for safeguarding the information. In image steganography, a secret image is put into recipient image so that only the receiver and sender will be aware of the secret message. Here in this paper, a secure, optimized scheme called particle swarm optimization is used to select the pixel efficiently for embedding the secret image in to cover image. PSO(Particle Swarm Optimization) decides pixel using fitness function which is based on the cost function. Cost function calculates entropy, edge and pixels intensity to evaluate fitness. Also, a technique called discrete wavelet transform has been employed to achieve robustness and statistical undetectability. The main aim of the proposed paper is to make better security and to obtain efficient PSNR and MSE values
Security Vulnerabilities of Virtualization Technique
Authors: N Saravanan , A Umamakeswari
Published: May 2018

Cloud computing is a computing model for delivering resources in a convenient manner from a shared pool. The resources provisioned and released on an on-demand basis with minimal intervention of service provider. Cloud Computing is becoming the platform for all kind of web based services. Virtualization is the key concept to adopt the cloud computing. Virtualization offers many benefits comparing to real physical machine implementation infrastructure.  Even though virtualization provides lots of benefits, it is also brings several security vulnerabilities. This paper presents the security breaches of various virtualization techniques that are applied in virtual machines, in which health care records maintained.
Real-Time Health Care Monitoring System using IoT
Authors: Saminathan Sasippriya , Geetha K
Published: May 2018

Incorporation of Information and Communication Technology (ICT) in healthcare industry explored the possibilities to optimize the supply of all the available medical resources and provide reliable, efficient healthcare services to the aged people and patients with physical disabilities and chronic illness. In consumer electronics and growing costs of healthcare a vision of connected e-health has evolved which constitute Personal Health Devices (PHD). Present day mobile devices are capable enough to gather data from various sensors and often play a role in physical fitness gateway and then data are collected in PHDs. The network overhead and suitability of the proposed solution for the different environment is presented which includes the integration of different wireless interfaces with cloud services. The work focuses on adapting the MQTT (Message Queue Telemetry Transport) communication model. This protocol is preferred over CoAP which is one-one protocol because it is one of the lightweight protocols used in TCP/IP and it has the feature of many to many communication models. The evaluation of the work is on a PHD prototype device and feasibility of the solution is discussed. The proposed work is to design and develop a Real-time healthcare monitoring system using IoT which is featured with Random Forest algorithm for heart disease prediction by gathering patient’s data from various PHD sensors and timely alert the caretaker as well as a doctor by sending messages through MQTT. It monitors the patient’s physiological parameters remotely and diagnoses the heart diseases as early as possible.The main motto is to reduce the cost of healthcare and give people the awareness about health and fitness.
Co-operative Detection for Malicious Nodes in Under-Attack WSN
Authors: Ranjan Vikas Shweta , Priyalakshmi B , Gautam Nikita , Potti Sairam
Published: May 2018

The network security must be taken into consideration in wireless sensor networks. In our project, we take sensor node data falsification (SNDF) attack using malicious nodes and co-operative detection is used. Fusioncentre collects information from the nodes created in a cluster environment and makes a global decision. The protocol used here is Ad-hoc-on demand distance vector[5] (AODV) and the performance analysis is done using parameters such as throughput and End-to-end delay. The stimulation is done in NS2 using network animator and graphical results are taken.The throughput will be increased compared to the existing system whereas End-to-End delay will be decreased.
RSS Based Wi-Fi Positioning Method Using Recursive Least Square (RLS) Algorithm
Authors: Cheerla Sreevardhan , Venkata Ratnam D
Published: May 2018

Due to rapid increase in demand for services which depends upon exact location of devices leads to the development of numerous Wi-Fi positioning systems. It is very difficult to find the accurate position of a device in indoor environment due to substantial development of structures. There are many algorithms to determine the indoor location but they require expensive software and hardware. Hence receiving signals strength (RSS) based algorithms are implemented to find the self-positioning. In this paper Newton-Raphson, Gauss-Newton and Steepest descent algorithms are implemented to find the accurate location of Wi-Fi receiver in Koneru Lakshmaiah (K L) University, Guntur, Andhra Pradesh, India. From the results it is evident that Newton -Raphson method is better in providing accurate position estimations.
Analysis of a Multiple Supply Voltage Floorplan Considering Voltage Drop and Electron Migration Risk
Authors: B Srinath , Aruna priya P , Kasliwal Chirag
Published: May 2018

In Contemporary Integrated Circuits (IC), the Voltage drop in the power rails and Electron migration risk (EM) due to high current densities are the most important factors degrading the reliability of the chip. The effect of these factors leads to an imbalance in the flow of charge carriers and voids in interconnects. This paper resolves the above issues, through analyzing and predetermining it in a Multiple Supply Voltage (MSV) design during the floorplanning stage. Simulations were carried out in Cadence digital Encounter system with 180nm technology for the circuit net list of 8 point FFT (Fast Fourier Transform) and FIR filter. Results show that floorplanning scheme is powerful in reducing 100% of voltage drop and 50% of EM risk in the chip as compared to previous works.
Data Integrity Verification Using MPT (Merkle Patricia Tree) in Cloud Computing
Authors: Mathiyalahan Subasri , Manivannan Shobana , Nagasundaram Mahalakshmi , Ezhilarasie R
Published: May 2018

Data integrity of outsourced data is main problem in CSP (cloud service provider). Space overhead and computation complexity are very high issue in recent PDP(Provable Data Possession) verification schemes. To overcome such issues MPDP (Mobile Provable Data Possession) schemes using hash tree data structure and Boneh-Lynn-Snacham short signature scheme have been used over decade. Data dynamics is well supported in MPDP scheme via block less verification, dynamic data operations, stateless verification, and verification out sourcing. But still there are some operations which can be performed much more efficiently in some other way than that of the two methods prescribed above. Operations in particular, data modification operations like insertion and deletion operations is somewhat difficult or in other words time consuming in hash tree data structure. In this paper, we have deployed an improved hash tree structure called MPT (Merkle Patricia Tree) for integrity checking.MPT is combination of MHT (Merkle Hash Tree) and patricia tree where each node consists of key-value pairs.  As of now, MPT has been used only in block chain technology for providing authentication of transactions through Ethereum.
Emergency Node Based Fault Tolerance in Wireless Sensor Networks
Authors: Gobinath T , Tamilarasi A
Published: May 2018

In Wireless Sensor Network (WSN), fault occur due to node failure, malicious attack and link failure. Link failure causes the loss of sensitive data in a network leads to the emergency situation and influence generated and incoming data resulting in high probability of erroneous data, false packet transmission, wrong decision making and rigorous communication interruption. It leads to increase of traffic overhead and faulty node count in the network. In order to avoid this problem Emergency Node(EN) based process is proposed. Simulation clearly shows that the proposed method increased the packet delivery ratio and decreased the average delay, Energy consumption in WSN.
Design and Implementation of Smart and Low Cost Multi-task Farming System Using Arduino
Authors: Shasi Kiran Uppu , Arya Shanu , Rajasekaran M
Published: May 2018

Using the idea of IOT this project explain the multi-task farming system using Arduino. The system uses a Wi-Fi module in which system is connected to the internet. A motor and two valve are controlled by this module for transporting the water to the farm on  receiving the signal from a water level sensor and soil moisture indicator. This system explain the illustration of Internet of Things (IOT). This concept does the work like weeding, spraying water, harvesting, etc. The system also does the work like determining the humidity of the soil and measuring the physical environmental factor which can be monitored by any individual from anywhere they want and the data gets recorded in the database of the webpage or the app through IOT connection and the individual gets a notification on their cellular phone through message so that he can operate the system through a push message or can be done through the mobile app if there is any requirement to the field that to be taken care of.
Enhanced Adaptive Learning Mechanism for Cloud Selection
Authors: Maruthi V , Shanthi P , Umamakeswari A
Published: May 2018

Estimation of cloud services in a distributed computing environment is taking more interests. There is a wealth of developing cloud benefit assets that makes it difficult for the user to select the best administration related to own applications in an evolving multiple cloud environment, particularly for online processing applications. To make clients to choose their interested cloud adequately, we need a model which holds the cloud profits, and hence dynamic cloud benefit determination procedure named Dynamic Cloud Selection (DCS) is adapted. In this procedure of selected services, every cloud benefit business deals with some group of cloud administrations, and executes the DCS method. This paper studies the cloud selection and proposed a way to improve the cloud selection based on related measures. The measures are reliability, response time, throughput, availability, utilization, resilience, scalability, and elasticity. The system is contrived to enhance the cloud benefit choice powerfully and to restore the best administration result to the client. These measures are used to form best selection strategy. User memory requirement is also considered to improve the preferred task. Experimental results proved that using this new strategy, best cloud selection is made efficiently.