bluuebunny/crossref_metadata_2025 huggingface dataset:
Remote Health Watchdog Framework for Seizure Patient Using Electronic Sensors
Authors: Devi Majety Vasumathi , G.Murali Dr
Published: May 2018

Epilepsy is due to the neurological disorder of a patient which makes the patient uncontrolled and makes unconscious. The patient should get support through an ongoing framework. The brilliant epilepsy recognition and ready framework is a propelled innovation by which an electronic device is introduced. Utilizing that pack, the life of the individual who is truly affecting with the condition can be anticipated. As per World Health Organization (WHO), epilepsy is a standout amongst the most well-known essential sicknesses of the focal sensory system around the world, which is exasperated by the sudden variable that portrays the event of an epileptic occasion. In this manner, the capacity to recognize scene preceding its beginning is introduced as a relief variable to the upsetting effects that emerge from this situation. The casing will be tolerable, confirms the condition and also alerts to the the family doctor. To realize all the above plan, mainly utilized four modules: three sensors, data analysis and ARDUINO module with GSM and GPRS module.
Classification of Imbalanced Malaria Disease Using Naïve Bayesian Algorithm
Authors: Sajana T , R.Narasingarao M
Published: May 2018

Malaria disease is one whose presence is rampant in semi urban and non-urban areas especially resource poor developing countries. It is quite evident from the datasets like malaria, dengue, etc., where there is always a possibility of having more negative patients (non-occurrence of the disease) compared to patients suffering from disease (positive cases). Developing a model based decision support system with such unbalanced datasets is a cause of concern and it is indeed necessary to have a model predicting the disease quite accurately. Classification of imbalanced malaria disease data become a crucial task in medical application domain because most of the conventional machine learning algorithms are showing very poor performance to classify whether a patient is affected by malaria disease or not. In imbalanced data, majority (unaffected) class samples are dominates the minority (affected) class samples leading to class imbalance. To overcome the nature of class imbalance problem, balancing the data samples is the best solution which produces the better accuracy in classification of minority samples. The aim of this research is to propose a comparative study on classifying the imbalanced malaria disease data using Naive Bayesian classifier in different environments like weka and using an R-language. We present here, clinical descriptive study on 165 patients of different age group people collected at medical wards of Narasaraopet from 2014-17. Synthetic Minority Oversampling Technique (SMOTE) technique has been used to balance the class distribution and then we performed a comparative study on the dataset using Naïve Bayesian algorithm in various platforms. Out of balanced class distribution data, 70% data was given to train the Naive Bayesian algorithm and the rest of the data was used for testing the model for both weka and R programming environments. Experimental results have indicated that, classification of malaria disease data in weka environment has highest accuracy of 88.5% than the Naive Bayesian algorithm accuracy of 87.5% using R programming language. The impact of vector borne disease is very high in medical applications. Prediction of disease like malaria is an hour of the need and this is possible only with a suitable model for a given dataset. Hence, we have developed a model with Naive Bayesian algorithm is used for current research.
A Survey: Computing Iceberg Queries
Authors: Ravi Pallam , Haritha D , Niranjan P
Published: May 2018

Knowledge discovery, tasks are deals with huge no of records. Queries are needed to identify unique attributes values and their aggregate that is above a predefined threshold from this huge number of records. This type of queries is called iceberg queries. Iceberg queries requires huge amount of main memory and takes longer time to answer the query. As computer system has limited amount of main memory, the processing of iceberg queries is a challenging task. This paper discusses different methods that are in literature for processing iceberg queries , we also explore pros and cons of these methods and   future scope.
Applicataion of ormsby wavelet for generation of synthetic seismic signals
Authors: Sai Sumanth E , Joseph V , K S Ramesh Dr , S Koteswara Rao Dr
Published: May 2018

Investigation of signals reflected from earth’s surface and its crust helps in understanding its core structure. Wavelet transforms is one of the sophisticated tools for analyzing the seismic reflections. In the present work a synthetic seismic signal contaminated with noise is synthesized  and analyzed using Ormsby wavelet[1]. The wavelet transform has efficiently extracted the spectra of the synthetic seismic signal as it smoothens the noise present in the data and upgrades the flag quality of the seismic data due to termers. Ormsby wavelet gives the most redefined spectrum of the input wave so it could be used for the analysis of the seismic reflections.
Anomaly based Intrusion Detection by Heuristics to Predict Intrusion Scope of IOT Network Transactions
Authors: Korani Ravinder , P. Chandra Sekhar Reddy Dr
Published: May 2018

Conventional intrusion detection mechanisms face serious limitations in identifying heterogeneous and distributed type of intrusions over the IoT environment. This is due to inadequate resources and open deployment environment of IoT. Accordingly, ensuring data security and privacy are tough challenges in the practical context. This manuscript discusses various aspects of networking security and related challenges along with the concepts of system architecture. Further, endeavored to define a machine learning model that outlines two heuristics called Intrusion Scope Heuristic ( ), and benign scope heuristic ( ), which further uses in predictive analysis to identify the IOT network transaction is prone to intrusion or benign. The experimental study revealed the significance of the proposal with maximal detection accuracy, and minimal miss rate.
Enhanced Security using Secure Multiparty Computation to E-voting application in cloud
Authors: Kishor Chaudhari Umang , Vijaya Kumar A , Venkata Sai G
Published: May 2018

Secure outsourcing of computation on sensitive data is an important topic that has received a lot of attention recently. E-Voting system is interested in method collaboration system to ameliorate the quality of System. Cloud computing is integrating in communication and information technologies in the E-Voting. In fact, the paradigm is to provide the computational resources or result at the end of the services. Further it needs to reveal the voting information result but if faces several challenges in the security it must be overcome without reveal any sensitive data to unauthorized parties. To accomplish this objective, we proposed secure multiparty computation techniques (SMC). The main aim of our work is to use the suitable model for parties to together compute their function based on their inputs without revealing their private inputs. The idea behind is the several collaborate system use to their shared objectives without allow any gathering to information and private information.
A fully security included Cloud Computing Architecture
Authors: Trinath Basu M , JKR Sastry Dr
Published: May 2018

Many developers have designed their own architecture for installing the cloud computing infrastructure. The existing cloud computing architectures differs in many ways. Security has been the serious issue as client related data and processing is undertaken using the infrastructure provided by third party service providers varies greatly. It is necessary to know the extent of inclusion of security into the cloud computing system and then find the best architecture that includes best and tight security system. In this paper, a comparison of existing architectures from the perspective of inclusion of security infrastructure within cloud computing system is presented along with a comprehensive architecture that is included with every aspect of security taking into account the most of the vulnerabilities.
Improved Virtual Machine Allocation Strategy using Particle Swarm Optimization Algorithm
Authors: Thirumala Rao B , Nandavardhini K , Navya K , Krishna Venkata Sunil G
Published: May 2018

Virtual machine position (VMP) is a critical issue in choosing most appropriate arrangement of physical machines (PMs) for an arrangement of virtual machines (VMs) in distributed computing condition. These days information concentrated applications for handling huge information are being facilitated in the cloud. Since the cloud condition gives virtualized assets to calculation, and information concentrated applications require correspondence between the registering hubs, the situation of Virtual Machines (VMs) and area of information influence the general calculation time. The essential target is to decrease cross system activity and transmission capacity use, by setting required number of VMs and information in Physical Machines (PMs) which are physically nearer. This paper exhibits and assesses by a meta-heuristic calculation in view of Parallel Computing and Optimization (PCO) which select an arrangement of adjoining PMs for setting information and VMs . In the wake of choosing the PMs, the information are duplicated to the capacity gadgets of the PMs and the required number of VMs are begun on the PMs based on their VM allotment limits. Recreation comes about demonstrate that this determination diminishes the whole of separations amongst VMs and henceforth lessens the activity fruition time.
Smart saline level monitoring system using IOT
Authors: Naga Malleswari B , Vijay varma P , N.Venkataram Dr
Published: May 2018

This paper relates with the saline level of a patient through remote technology in health care centers to monitor patient’s data constantly. If the patient is sick firstly we should give a saline to patient. When the bottle is placed to patient we should check frequently the level of bottle. It is difficult to check all the time, so we transmit data through thing speak cloud platform to nurse cabin. We can receive the data by indication of bottle level. While setting a tilt sensor near the patient, we may know the patient is in conditional stage or in any Unconditional stage. The system will continuously monitors the patient’s data by this doctor can also monitor many patients at a time.
Securing Internet of Things(IoT) Using HoneyPots
Authors: Sudha Gadde Sai , Krishna Srinivas Ganta Rama , Gopala Gupta ASALG , Rao K Raghava , Mohan Rao KRR
Published: May 2018

In today’s everlasting technological world, information and data communication create more devices stay connected to the internet. This lead to achieving development for building different software and internet connection very inexpensive this affected privacy and security. Security today became of the most important issue because day-by-day new technologies are put forward for different purposes of study while these come with a lot of vulnerabilities which makes the exploitation of the data. IoT is also such kind technology which is available for exploiting. For preserving information from such type of attacks we use honeypot which serves as a decoy based technology in a network and these are cost effective and works as a deception model which entice attackers with low vulnerabilities and security. Here are how honeypots used to defend IoT devices from being attacked and gather information about the attackers’ device.
Route Map of Privacy Preservation to IOT
Authors: Pravin N. Kathavate Mr , J. Amudhavel Dr
Published: May 2018

Data anonymization is the main feature of privacy preservation, and it assists in eradicating the privacy hazard in data preparation in various applications including IoT. Pseudonymity and Anonymization are two significant security factors that were adopted when sensitive data are shared.  In medical field, data is usually distributed horizontally with diverse regions carrying a similar set of characteristics for various anonymization techniques. Accordingly, this paper intends to formulate a review on privacy preservation in IoT. Here, the literature analyses on diverse techniques associated with data hiding, data preservation and data anonymization along with data restoration properties. It reviews 60 research papers and states the significant analysis. Initially, the analysis depicts the chronological review of the overall contribution of different types of anonymization protocols in diverse applications. Subsequently, the analysis also focuses on various features such as applications, measures, key generation and data preservation in healthcare, etc. Furthermore, this paper provides the detailed performance study regarding data hiding and restoration process in each contribution. Finally, it extends the various research issues which can be useful for the researchers to accomplish further research on data preservation in IoT.
Testing ripple carry adder using bist architecture
Authors: V. Pavan Kumar B , Sri Ashish P , Sai Harshitha K , Sai Krishna G , Anil chowdary T
Published: May 2018

Very Large-Scale Integration has a greater impact on the developing circuit technology. The Cost and Size has been gradually reducing since years but increased the circuit complexity, there are problems which may affect the growth of VLSI technology. Among them one of major problem is circuit testing. To resolve this issue, we implement Built in Self-Test (BIST). BIST architecture is used to test the circuit itself. Engineers Design BIST to achieve high reliability and low repair cycle times. We implement Linear Feedback Shift Registers (LFSR) to generate the pseudo random test pattern and implement a ripple carry adder as circuit under test and Multiple Input Signature Register(MISR) as output response analyzer and test patterns are given to circuit under test and outputs are obtained these are compared with the actual outputs to test whether the circuit is faulty or not. To check whether the circuit is faulty or fault free we check the obtained outputs with actual outputs using Signature Analysis.
Online Business Site Quality Assessment
Authors: Chaitanya Krishna B , Sai Mounish P , Vinay Kumar U , Divya Mallika A
Published: May 2018

Online business is seen as a splendid alternative for associations to accomplish new customers. Now and again, various web-based business destinations will be small life time. The achievement of the small stores will be having some minor issues majorly on the quality metrices of the product, as it will a flighty game plan. Our paper portrays the pertinent game plan of online business site quality metrics in view of writing. Research was endeavored to affirm and set up the appropriate essential of those qualities. The results are gained from an item quality assessment demonstrate
Network analysis as a method of assessing terms in a dataset comprising eating disorders
Authors: Adimulam Yesu Babu Dr , Deepak Nedunuri Dr , Venkata Sai Krishna T
Published: May 2018

Eating disorders are central reason of physical and psycho-social morbidity. Several factors have been identified as being associated with the prevalence and progression of eating disorders in humans. Scientific investigation was carried out to assess the usage of terms in manuscript titles of nearly 900 published articles followed by network analysis and network centralities using R programming. The tm package, term document matrix function was utilized to create a term document matrix (TDM) from the corpus. A binary word matrix comprising 17 terms was created based on higher probability of occurring a term in a column. An agglomerative hierarchical clustering technique using ward clustering algorithm was presented. A data frame from the TDM was created to store data and used to plot word cloud based on word frequencies. An undirected network graph was plotted based on terms that appeared in the term matrix. Centralization measures such as Degree centrality, Closeness, Eigenvector and betweenness Centrality were reported.
Comparative Analysis of Edge Feeding and coaxial Feeding Technique with Fixed Frequency
Authors: S. Mohan Reddy S , Vinod Kumar M , Sanjay B , Aruna Kumari K
Published: May 2018

The performance of rectangular microstrip patch antenna with the edge feeding and coaxial feeding techniques with DGS (Defective ground structure) and DSS (Defective substrate structure) are analyzed. It was observed that the return loss for Edge feeding is -28.39dB, for DSS it is - 26.44 and return loss for coaxial with DGS is -27.50dB and for DSS is -28.52. VSWR is approximately equal to 1 for all designs and also it was observed that the Gain is enhancement in Edge feeding and Bandwidth is improvement with coaxial feeding. The antenna designing and simulation is done by using the ANSOFT HFSS Software.
IOT Security Challenges and Measures to Mitigate: Novel Perspectives
Authors: Kumar Yogi Manas , Himatej Y , Mahesh reddy M
Published: May 2018

The Internet Of Things describes the ever-growing number of intelligent objects that are being connected to the internet and each other, smartphones, tablets, wearable technology and smart home devices are adopted into our everyday lives. The security of IOT is becoming more complex and may have a serious consequence. So, now we have many security challenges like privacy concerns, routine cryptography, passive data collection etc. Many people hide personal data in social media to eliminate these sort of privacy issues but common man nowadays is becoming a passive participant due to lack of security in these IOT devices that are surrounding us.
A novel planar dual polarized millimetre wave antenna for KU band applications
Authors: B Sowjanya , V Saiteja G , Krishna Mrudhvi , Krishna M , Bhagavan A
Published: May 2018

A dual polarized antenna array to operate in Ku band is analysed and designed. Cross polarization is the major factor considered. The second requirement is the uni-layer fabrication used for any vertical interconnection accesses. Circular microstrip patches are chosen as the radiating elements. The antenna is fed through the two orthogonal linear edges and shown in microstrip line pattern. Reduction of sidelobes is done  by using dolphchebychev distribution. scattering parameters procedure is done to get efficient stimulation. The properties of antenna array simulation are fixed over a bandwidth having center frequency 500MHz. Hence proven, showing that a cross polarised antenna is used for ku band frequencies or millimeter wave applications. The design procedure and parameters are explained clearly to utilize the fact that the antenna array could be reduced.
Comparative analysis of SRAM cell with leakage power reduction approaches
Authors: Paradhasaradhi Damarla , Jaya Lakshmi Kollu , Harika Yadavalli , Ravi Teja Sai Busa , Jayanth Krishna Golla
Published: May 2018

In deep sub-micron technologies, high number of transistors is mounted onto a small chip area where, SRAM plays a vital role and is considered as a major part in many VLSI ICs because of its large density of storage and very less access time. Due to the demand of low power applications the design of low power and low voltage memory is a demanding task. In these memories majority of power dissipation depends on leakage power. This paper analyzes the basic 6T SRAM cell operation. Here two different leakage power reduction approaches are introduced to apply for basic 6T SRAM. The performance analysis of basic SRAM cell, SRAM cell using drowsy-cache approach and SRAM cell using clamping diode are designed at 130nm using Mentor Graphics IC Studio tool. The proposed SRAM cell using clamping diode proves to be a better power reduction technique in terms of power as compared with others SRAM structures. At 3.3V, power saving by the proposed SRAM cell is 20% less than associated to basic 6T SRAM Cell.
Implementation Of Hybrid Scheduler In Hadoop
Authors: Thirumala Rao B , Susmitha M , Swathi T , Akhil G
Published: May 2018

The paper focusses on priority based round robin scheduling algorithm for scheduling jobs in Hadoop environment. By Using this Proposed Scheduling Algorithm it reduces the starvation of jobs. And the advantage of priority scheduling is that the process with the highest priority will be executed first. Combining the both strategies of round robin and priority scheduling algorithm a optimized algorithm is to be implemented. Which works more efficiently even after considering all the parameters of scheduling algorithm. This proposed algorithm is also compared with existing round robin and priority scheduling algorithms.
Performance Analysis of various dc-link Converters for Photovoltaic based Ac Drives
Authors: Sanket B , Pandian A , V. Siva Reddy K
Published: May 2018

This paper proposes a Performance analysis of DC to DC converters connected to the induction motor drive. The circuit analysis and operating principle of the proposed M-ZS Converter is presented and also characteristics of the different DC-DC are projected. A keen comparison is done between the proposed Modified Z-Source Converter with Boost Converter and Z-Source Converter and MPPT behavior of three converters at different irradiance level and different loading conditions are analyzed. By with the help of MATLAB Simulink, the simulation results are evaluated and presented.
Time Frequency analysis of Non-Stationary signals by Differential frequency window S –Transform
Authors: Murali Krishna B , Srinivas M , Raja Gopal S , L. P. Ashok G
Published: May 2018

The S transform is an extension of Short Time Fourier Transform and Wavelet transform, has a time frequency resolution which is far from ideal. A differential frequency window is proposed in this paper to enhance the time frequency energy localization. When a non stationary signal consists of abrupt amplitude variation equal to peak of Gaussian function at initial intervals of chosen guassian window, then some part of the signal amplitude will be nullified during transform projection. The major function of differential frequency window is to track all abrupt amplitude-frequency variations which exploits in non – stationary signals. A mathematical method namely Newton Raphson method is adopted for this trace. The proposed scheme is tested for ECG data in presence of noise environment and results shows that proposed algorithm produces better enhanced energy localization in comparison to the standard S – Transform, STFT, and CWT. Furthermore the above algorithm is implemented on FPGA for real time applications.
Acquiring the user’s opinion by using a generalized Context-aware Recommender System for real-world applications
Authors: Venkata Murali Krishna Chinta , G. Appa Rao Dr
Published: May 2018

Acquiring the user’s opinion on specific things undoubtedly changes according to the given context. A context-aware or Multidimensional Recommender System can adapt its behaviour according to the user’s personal or environmental context. The same user may express or use completely different decision-making ways for various contexts to express the opinion .So, correct anticipation of user need depends upon the amount to which the relevant discourse data is in incorporated within the user’s opinion type. Here, we propose a generalized Context-aware recommender system that is suitable for all applications where a contextual segment plays a major role to find user’s opinion in real-world applications.
A Study on Light Weight Cryptography Algorithms for Data Security in IOT
Authors: Sri Lakshmi M , Srikanth V
Published: May 2018

IOT - things like the smart devices and sensors that connects and communicates through Internet. IOT applications like smart home, smart vehicles, smart retail, which makes the mankind’s life easier.  There is a prediction that we will be having million of devices connects to the Internet. Since the sensitive devices like baby monitoring devices,  health monitoring devices are the part of interconnected world there is the necessity to address the consequence of the security aspects of the IOT. The built-in nature of the IOT is to trace user’s identity easily, so the security and privacy concerns like stealing the data, disruption of operations and even the loss of life are becoming critical issues in today’s IOT applications.  Due to the resource constrained environment in IOT  the conventional algorithms is not enough to ensure the data security. So we need a less computational cost in terms of power consumption and memory management and more efficient cryptography algorithms which are discussed in this paper.
IoT Application, A Survey
Authors: Devi Kotha Harika , Mnssvkr Gupta V
Published: May 2018

Internet of Things ( IoT ) , where physical systems are connected over network to exchange information among themselves and with their surroundings. IoT helps in developing  most powerful industrial systems. It  finds its various applications in house hold, agriculture, and in various industrial systems. In an effort to understand the growth of IoT , this paper reviews current research trends of IoT , key technologies, and its major applications, and identifies  key challenges of IoT. This paper mainly summarizes the applications of  IoT in industries
Active Noise Cancellation for Predefined Voices
Authors: Venkata Ram Reddy D , V. Prabhu A , Sri Krishna Chaitanya M , K Gopiram
Published: May 2018

This paper describes the Active noise cancellation for predefined voice. It is another technique of cancelling the noise with adaptive filter. Its Pros lies in this, with no apriority evaluations of noise, we can decrease the noise reduction, or we can try to decrease the strength by designing the filters. If we can’t find the frequency of the signal, we have to design fixed filter. It wants two inputs one is primary input which contain voice and some noise and a reference input containing noise. And the second input is the reference input which is filtered, and we can hear it with noise reduction and we can see it signal representation. Active filtering before subtraction allows the treatment of data sources that square measure settled or arbitrary, stationary or time-variable. Further this project can be developed by taking the two voices at a time and we can hear a single voice which is filtered.
Mining High Utility Regular Patterns in Transactional Database
Authors: G. Vijay Kumar Dr , Vishnu Sravya S , Satish G
Published: May 2018

In Transactional databases, interesting patterns discovering is a primary challenge in the field of data mining as well as research of the knowledge discovery. Presently pattern temporal regularity consider as crucial criterion in various online and real time applications such as analysis of the market basket, monitoring of network, analysis of gene data, sequence of the web page as well as the stock market. To find the transactional database regular patterns some of the efforts done. there is no method for that till now with the help of format of vertical data scan. Hence, here we find out the efficiency in time as well as the memory for finding the regular patterns.
Application of klauder wavelet for generation of synthetic seismic signals
Authors: Neelima S , Saritha A , S.Ramesh K , Koteswara rao S
Published: May 2018

Analysis of reflected seismic waves gives the information about the earth and its inner core. This aids in monitoring earthquake, petroleum exploration, determination of the earth’s core structure, etc. Wavelet transforms is an efficient tool for analysis of seismic reflected signals. These transforms helps in complete extraction of the seismic signal buried in noise. In this paper an attempt is made to analyze a synthetic seismic signal by using Klauder wavelets.  The synthetic seismic signal is extracted by convoluting with the Klauder wavelet. Noise is completely removed as the wavelet spans a large spectrum of signals.
Application of zero phase wavelet on synthetic seismic signals with noise
Authors: Srinivas Goli Sai , Papanaboyina Sireesha , Ramesh Kanchumarthi Satya , Rao Sanagapallea Koteswara
Published: May 2018

Detection of time of occurrences of different phases and frequencies is of highest importance in seismic reflected signals. Seismic reflection analysis gives us accurate information about the event detection, source acquisition of triggered seismic data and its mechanisms. In the present work an attempt is made to generate a synthetic seismic with noise generally present in the seismograph using. The synthetic seismic signal is extracted by zero phase wavelet. Crews software is used in this extraction. The zero phase wavelet could efficiently extract the seismic signal present in the reflected wave.
Studying Cloud as IaaS for Big Data Analytics : Opportunity, Challenges
Authors: Manekar Amitkumar , Pradeepini Gera Dr
Published: May 2018

James Watt steam engine revolution was greatest revolution in mankind history in 20th century. In 1776, the first steam engines were installed and working in commercial enterprises. This revolution minimize and make world smaller for human being, now world is connected seamlessly. “Big Data Analytics and Cloud” these two words are second numerous revolutions in 21st century.  We are living in an era of information explosion. These two magical terms are nothing but relatively very new and fortunately diverted all market trends to a new era of computation in last decade. As these two emerging technology are their early childhood, many people were confused with its relevancy and applicability. Cloud Computing is Infrastructure based solution for managing data and computational framework. 2016 was a significantly more important year for this volumes data technology or Big Data eco system as large number of enterprises, and organizations are generating data, storing that data and worried about future aspect of that data. In 2017, corporate world take cognizance of their large volumes structured and unstructured data as these enterprises and organizations continuously generating large volumes data. The term big data doesn’t just refer to the massive amounts of data existing today, it also refers to the whole ecosystem of Storing or gathering data, Different types of data and analyzing that data. In traditional data ecosystem all leverages are with legacy system.  Transforming or migration of these traditional ecosystems to the cloud is full of great challenges and benefits. Cloud computing is an agile and scalable resource access computation paradigm, provides heterogeneous platform seamlessly with infrastructure of internet, exclusively for the trapped and work on pre and post process of big data. Now the challenges are finding opportunity and challenges for managing, migrating and abstracting cloud based big data using cloud infrastructure for future eco system of Big Data Analysis.  This paper is basically focused on this issue. We try to reevaluate the facts of existing Cloud Infrastructure as IaaS for tomorrow’s big data analytics.
Free Cycling
Authors: Dileep Sai T , N.Venkatram Dr , Veda A
Published: May 2018

The essential objective of our venture is to collect an in general open handedness site which diminishes misuse (squander), spares fabricated products, at the same time empowers our individuals to be get profited from the control of a bigger zone for no income. For specific made merchandise there can be various selectors, so based on the fundamental concern or by the prerequisite of the buyer they made products are advertised. Our approach is to put forward a present day innovation that will permit people to reuse the fabricated merchandise in a simple way. It’s totally non-profitable and based on the gather of people who are charitable and getting the item for free in their claim neighborhood zone. It is most vitally based on the clients who are willing to offer the item for free based on specific region. So, we came with a proposition of building up a site which will loan a hand to the people to see at the items near by them. This will fair require a clear enlistment on the site
A Survey of using Data Mining Techniques for Soil Fertility
Authors: Kommineni Madhuri , Perla Someswari , Bharathi Yedla Divya
Published: May 2018

Data Mining is a technique which focuses on large data sets to extract information for prediction and discovery of hidden patterns.  Data Mining is applicable on various areas like healthcare, insurance, marketing, retail, communication, agriculture. Agriculture is the backbone of country’s economy. It is the important source of livelihood. Agriculture mainly depends on climate, topography, soil, biology. Agricultural Mining is a technology which can bring knowledge to agriculture development. Data Mining in agriculture plays a role in weather forecasting, yield prediction, soil fertility, fertilizers usage, fruit grading, plant disease and weed detection. The current study presents the different data mining techniques and their role in context of soil fertility, nutrient analysis.
Survey on Big data analytics in Healthcare Domain
Authors: Praveena M , Kameswara Rao M
Published: May 2018

These days, amount of data in different formats is increasing rapidly due to the use of different technologies and increasing use of Internet. In previous decades, data even if it is large, its format and sources are limited but now-a-days, massive amount of data is collected from different sources in different formats. This concept gave rise to new concept called “Big Data” which is a present trend to deal with the data. Analytics is one more crucial topic under big data which deals with the analysis and its integration with business process. Many books, tools, sub topics were raised from the “Big Data” where it takes a large amount of time to understand and to start to work with it. Hence, we are going to give a review on “Big Data”, “Big Data Analytics” and its tools briefly. Here, Healthcare is taken as example to get the brief understanding on “Big Data and Analytics”. This paper, we have also reviewed various big data frameworks with respective to data sources, application area, analytical capability and made study on various papers by presenting their methodology, tools, advantages and limitations.
EECLA: Clustering and Localization Techniques to Improve Energy Efficient Routing in Vehicle Tracking using Wireless Sensor Networks
Authors: Gummadi Annapurna , K Raghava Rao Dr
Published: May 2018

Abstract: The applications of wireless sensor networks became more usable in daily life. In spite of many proposed techniques and methods, energy efficient routing in WSN is still an open issue. In this paper we made an attempt to give one of the solution for this problem in vehicle tracking system based on the vehicle sensor nodes. We studied many existing works, were failed in handling location and energy efficient routing of vehicle tracking properly. We proposed an algorithm which handles clustering and location at time and improves the performance of the system. This algorithm uses the fundamentals of LEACH, CLAEER and mean shifted algorithm. We conducted a sequence of experiments and our algorithm EECLA (Clustering and Localization Techniques to Improve Energy Efficient Routing in Wireless Sensor Networks) has given better results than the existed one with more accuracy.
Development of cognitive vehicle assistance and driver safety control management
Authors: Ankamma rao B , Harika Devi M , Veni Kommuri Krishna
Published: May 2018

In this paper we present new approach for automobiles safety driving system involving the multiple sensor monitoring an area around vehicle and conveying alert the driver.  There is some distance between two vehicles if apply break we can lose the control our vehicle. The proposed system works like that it has the four Ultrasonic sensors are fixed four sides of car they will detect the cars and obstacles within in the monitored area based on how much distance they are near to car and alert the driver via leds.an alcohol sensor fixed in the steering if he driver drink alcohol it will detect and switch off the vehicle ignition. The IR sensor monitors the eye blinks the driver. If the driver sleeps it makes ring the buzzer.
A survey overview: on wireless body area network and its various applications
Authors: Vandana. T Santhi , Ravi. K Sreenivasa
Published: May 2018

With the remarkable change of mobile radio communication over the past years in the wireless communication technologies, makes the Wireless Body Area Network (WBAN) services to be adopted by most of the people around the world. Wireless body area network is such a special purpose sensor network that was made for continues monitoring the health parameters in real time with the different wire-less sensors by implanting internally or externally of a human body. This wireless sensed information from the vital organs of the human body may be in the form of data, voice, video signals are communicated wirelessly through WBAN. This survey article presents an overview on- the WBAN communication architecture, comparison of WBAN and Wireless Sensor Networks (WSN), WBAN operating protocols- those are intended for short range wireless communication, and its applications in the medical and non- medical field have been out lined.
Web application firewall using XSS
Authors: Surekha M , Kiran Kumar K , V.S.Prasanth M , S.G.Aruna Sri P
Published: May 2018

Web Applications security has turned out to be logically more essential nowadays. Tremendous quantities of assaults are being sent on the web application layer. Because of emotional increment in Web applications, security gets helpless against assortment of dangers. The ma-jority of these assaults are focused towards the web application layer and system firewall alone can't keep these sorts of assaults. The essen-tial explanation for achievement of these assaults is the numbness of utilization designers while composing the web applications and the vulnerabilities in the current advancements. Web application assaults are the most recent pattern and programmers are attempting to abuse the web application utilizing diverse strategies. Different arrangements are accessible as open source and in business showcase. Be that as it may, the choice of appropriate answer for the security of the authoritative frameworks is a noteworthy issue. This overview paper looked at the Web Application Firewall (WAF) arrangements with critical highlights essential for the security at application layer. Basic examination on WAF arrangements is useful for the clients to choose the most appropriate answer for their surroundings.
Development of force plate for prosthetic applications interfacing with internet of things
Authors: Bharat Satya Kumar Y , Kalyan Chakravarthy Y , Prasad Paladagu Ratna , Venkatesh R , Srinath A
Published: May 2018

Force Plate is a measuring instrument which is used to calibrate the ground reaction force in gait cycle analysis of a subject (human or animal). Force plates are used to examine the lower limb kinematics for the applications of prosthetics, sports etc. In this study, a prototype of force plate is developed indigenously in an economical manner. It comprises of two metallic frames with a load cell (force transducer) mounted between them to produce an electrical signal as output, that is proportional to the amount of force applied on the surface of force plate. This prototype has a maximum load capacity of 3000N. The design of the force plate system along with the ground reaction force analysis and results are discussed below.
A literature review: big data and association rule mining
Authors: . Meenakshi , Nandal Rainu
Published: May 2018

In Today’s modern and advanced era, huge amounts of data have become available on hand to developers and choice makers. Big data successfully handles datasets that are not only large, but also very high in velocity and variety, which difficult to handle using conventional techniques, methods and tools. Multilevel association rule mining plays a very vital role in distributed environment in analysis of big data for preparing different Marketing strategies. As compared to Single Level rule, more precise and prominent information is provided by multilevel association rule and additionally from the hierarchical dataset it generates the conceptual hierarchy of knowledge. This paper aims to analyze Data Mining Technique named Multilevel Association rule, which provides additional important information in comparison to single level rule, and it also invents conceptual hierarchy of information/data from the hierarchical dataset. Tools and techniques of Big Data have also been reviewed in detail.
Printed dipole antenna and its arrays for wireless applications
Authors: Teju V , V. P. S Nikhil P , Pranusha A , Divya Ch , Bhanuprakash G
Published: May 2018

This paper proposes single element of micro-stripe antenna having wider bandwidth and also its arrays which are implemented for wire-less applications. In contemplation of wide frequency range of operation, antenna is fed with integrated balun. The single element antenna works under frequency range of 34GHz to 46GHz where reflection loss is less than -10dB and the obtained gain is 2.1 dBi. The linear 8-element array of antenna has been implemented and to obtain low mutual coupling between the elements of antenna a rectangular stub has been implemented. By enforcing the array methodology the not only the overall gain of the antenna has increased but also results in wider scanning angle.
Flow based valve position control using NI my DAQ
Authors: Dusarlapudi Kalyan , Uday Kiran K , V.Narayana M , Venkata Suman M
Published: May 2018

This paper emphasizes the required valve position by servo mechanism, which decides the flow rate through pipe. The servo position is decided through Ni Lab View virtual indicator& the same position is tracked by potentiometer with NI My DAQ. The deviation of the valve position is finding by comparing both the positions. This study will helps to maintain the desired flow value where flow rate plays an important role such as Pharmaceutical industry, bottle filling industry Etc.
Factors influencing customer purchase decision
Authors: Jagajeevanrao L , Susmitha V , Pavansahitya R , Sai Lakshmi G
Published: May 2018

Even though it seems enthusiastic for finding out the customer purchase decision but it is not an easy task. Since there is a huge amount of variation and updating in customer purchasing ways such as online purchasing so in order to evaluate and identify factors research has been started on identifying the factors that cause and grab attention for customer purchase. Some of the factors are customer reviews, privacy, social media, fast delivery, spare shipping, the cheapest price, merchandise and information quality, easy return and a wide option. The aim of this report is to look at the elements influencing the online shopping by the consumers. This is answered by researching the elements that promote consumers to browse online through analysis.
A prototype analysis of machine learning methodologies for sentiment analysis of social networks
Authors: Kumar Atmakur Vijay , P.Siva Kumar Dr
Published: May 2018

In present day’s social networking technologies are increased because of different user’s communication with each others. There are different types of networks are available in present situations like face book, twitter and LinkedIn. These are the valuable resources for data mining applications because of prevalence presents of different user’s information present in outside environment. Sentiment analysis is the process that defines attitudes, views, emotions and opinions from text, database sources and tweets. Sentiment analysis involves to categorize data based on different opinions like positive and negative or neutral reference classes. In this paper, we analyze different machine learning approaches to define sentiment analysis on social networks. This paper describes comparative analysis of existing machine learning approaches to classify text and other reference classes to evaluate different metric representations. And also this paper describes different machine learning methodologies like Naïve Bayesian, Entropy max and support vector machine (SVM) research on social network data streams. And also discuss major innovations to evaluate different procedures and challenges of analysis of sentiment or opinion mining aspects in present social networks.
Heterogeneous networked data recovery from compressive measurements using a copular
Authors: K. Raghavarao Dr , Vamsi Krishna M , Sai Chaitanya P , ShivaKumar E
Published: May 2018

Expansive scale information accumulation by methods for remote sensor system and web of-things innovation postures different difficulties in perspective of the confinements in transmission, calculation, and vitality assets of the related remote gadgets. Com-pressive information gathering in light of packed detecting has been demonstrated an appropriate answer for the issue. Existing plans misuse the spatiotemporal connections among information gathered by a particular detecting methodology. Be that as it may, numerous applications, for example, ecological checking, include gathering heterogeneous information that are inherently corresponded. By this examination, we are trying to propose the use of relationship from different heterogeneous signs while recouping the information from compressive estimations.
Regular frequent crime pattern mining on crime datasets
Authors: Vijay Kumar G , Sreedevi M , Vamsi Krishna G , Sai Ram N
Published: May 2018

The objective of violation information mining is to comprehend different violation designs in criminal conduct in request to foresee viola-tions and expect criminal movement to stay away from the violation not to happen. Foreseeing violation is one of the worldwide difficulties looking by Law authorization office and it requires tireless endeavors with a specific end goal to limit. In this paper we are presenting anoth-er violation design called general incessant violation design which happens frequently at certain time interims utilizing vertical information arrange additionally fulfills descending conclusion property. Violation designs were not characterized by insights and its distinguishing proof is some-thing other than checking and abridging violations that are comparable in attributes and additionally area on a guide. Violation design is a gathering of at least one violations answered to or on the other hand found by the police.
Efficient and expressive keyword search over scrambled data in cloud
Authors: B. V. Satya Vara Prasdad B , Abhishekh V , Rahul Raja P , Aditya A
Published: May 2018

The term seek encryption permits directing watchword look over encoded information in the interest of the information clients without taking in the fundamental plaintexts in cloud condition. The most existing accessible encryption code word searches just help single or conjunctive watchword look, while a couple of different plans that can perform expressive catchphrase seek are computationally wasteful since they are worked from bilinear pairings over the composite-arrange gatherings. In this paper, the code word examination demon- strates the general data entries are done in a way that accessible encryption methodologies like the prime-arrange gatherings which per- mits watchword seek approaches predicates, get to structures to be communicated in conjunctive, disjunctive or any monotonic Boolean equations and accomplishes critical execution change over existing plans. A standout amongst the most imperative is Keyword exploring, based on which the exceptional yield exercises in the inquiry promoting field catchphrases can represent the deciding moment of required data from cloud site.