bluuebunny/crossref_metadata_2025 huggingface dataset:
Load balancing in cloud computing
Authors: Kumar M Sudhir , Chakravarthi P , Jagadeesh B , Sai Prakash M
Published: March 2018

The expected take-up of Cloud, based on settled research in Web administrations, systems, utility figuring, disseminated processing and virtualization, will get many favorable circumstances cost, changeability and approachability for benefit clients. These advantages are foreseen to propel drive the requirements for Cloud organizations, growing both the Cloud's customer base and the extent of Cloud foundations. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including fault tolerance, large accessibility and adaptability. Focal to these issues will be the stronghold for successful balancing load techniques. Balancing load includes allocating assignments to every processor and limiting the time for the execution program. Practically speaking, it will be conceivable even to execute the applications on any machine of overall distributed frameworks. We are going to talk the possible distributed solutions proposed for balancing load and pros and cons of load balancing.
A fuzzy preference tree-based recommender system for medical database
Authors: Gera Pradeepini , Bhargavi Sabbisetty Vishnu , Devarasetty Tejaswini , Nukala Madhusri , Vittamsetty Navyasri
Published: March 2018

Nowadays every online site is using personalized recommender systems to suggest a right product for the customer. But existing system has tree structures and have unrequired items in the user preferences. So, it requires high memory and time. To overcome this issue,proposed a new method with increased performance. Firstly, introduced a technique for modeling fuzzy tree-established consumer pref-erences, in which fuzzy set techniques are used to express user choices. A recommendation approach to recommend tree-dependent items is then advanced. The critical path on this study is a comprehensive tree matching method, which can compare two tree-established facts and identify their corresponding components by taking into consideration of all the records on tree structures, weights, and the nodeattributes.The proposed fuzzy preference tree based recommender system is tested using a medical dataset.
SWIFT cognitive behavioral assessment model built on cognitive analytics of empirical mode internet of things
Authors: V.V. Kishore P , Azma SK , Gayathri K , S.C.S. Sastry A , Kiran Kumar E , Anil Kumar D
Published: March 2018

This paper introduces a study and analysis to predict the present human behaviour through his/her object interactions in the physical environment. The physical environment consists of a door, chair and telephone with accelerometer sensors attached to them and connected to computer using a raspberry pi IoT(Internet of Things) kit. Two other parameters used for assessment are human voice intensities and human motion analysis through a motion capture camera with inbuilt microphone and Wi-Fi module. The dataset is a collection of accelerometer data from chair and telephone, human interaction with door through camera and voice sample of a word ‘Hello’. These 4 parameter measurements are collected from 15 test subjects in the age group 19-21 without their knowledge. We used the dataset to train and test 3 predominant behaviours in the chosen age group namely, excitable, assertive and pleasant on an artificial neural network with backpropagation training algorithm. The overall recognition accuracy is 84.89% based on the physical assessment from a physiatrist of all the test subjects. This study can help individuals, doctors and machines to predict the current human emotional state and provide feedback to modify unpleasant current state of behaviour to a pleasant state to maximize human performance.
Redactable blockchain and it’s implementation in bitcoin
Authors: Rajasekhar Krovi , HarshiniYalavarthy Sri , Mullapudi Sravani , Gowtham M
Published: March 2018

A Blockchain is a ledger of records. It originally came from the digital currency bitcoin. Its main features are transparency and accountability. For this we use chameleon hashing concept which uses a trapdoor key. Unless the trapdoor is used it is hard to find collisions. We can create collisions only if we know the trapdoor and can rewrite the block of data with the new redacted stored files in blocks are permanently recorded and cannot be modified. To overcome this, we use the new redaction capability and expand its usefulness for enterprises and also in financial sector. This could limit uses in financial sector for the services because this must require data to be changed or smashed, coding and transaction mistakes might happen, which can be undone through redaction. An unchangeable record is not useful for the applications that area used for blockchain. Wherever the blockchain is used, either for a code or data there should be a way to redact it in unavoidable situations. The constraints for redacting a blockchain should be strict and can be done with whole block. We use this redaction concept with the bitcoin technology, which is a person-to-person digital cash system.
The ambivalence of santiago a psychoanalytic study
Authors: S. Sujatha T
Published: March 2018

Santiago, the protagonist of the American novelist, Ernest Hemingway’s novella, The Old Man and the Sea is certainly a sphinx amongst complex characters in fictional literature. A true understanding of this very puzzling character is beyond the scope of the conventional study methods of critical reading, critical analysis, critical appreciation etc. Only a psychoanalytic approach offers us some prospect of being able to understand the dichotomy between the psyche and the persona of Santiago. However, it needs to be emphasized here that the psychoanalytic approach is neither superior nor inferior to the other approaches. It is only a very different kind of approach that promises new possibilities. Its application is justified when our subject of study happens to be a complex character like Santiago. We also need to remain alert and wary of the fact that a pseudo-psychoanalytic study can easily lead to absurd understandings. This paper reports a study of Santiago’s character based specifically on Freudian Classical Psychoanalytic Theory of Personality. At the same time, however, it does not altogether disregard or discount Jungian or Lacanian psychoanalyses. The objective of this paper is to explain in psychoanalytic terms how Santiago is saved from becoming dangerously paranoid, schizoid and maniacal.
Simulation and performance analysis for coefficient estimation for sinusodial signal using LMS, RLS and proposed method
Authors: MVV Prasad Kantipudi , Suresh H.N.
Published: March 2018

The estimated Power Spectral Density (PSD) gives the information regarding the architectural structure of random process; it can be utilized for mathematical modeling, removal of noise, prediction of the signal of the deserved processes. The objective of spectral density estimation is to approximation the spectral density of a random signal from a series of time sample of the signal. Spectral estimation and coefficient estimation is concerned with determining the distribution in frequency of the power of a random process. In this paper, a well-known adaptive filter is used to the estimation of the spectral density of the signal. It includes the LMS, RLS and improves RLS (proposed method) to analyze the coefficient of the sinusoidal signal.
Survey on finger-vein segmentation and authentication
Authors: Kharabe Shwetambari , Nalini C.
Published: March 2018

Exploding growth in the field of electronic information technology, the finger vein authentication technique plays a vibrant role for personal identification and verification. In recent era, this technique is gaining popularity, as it provides a high security and convenience approach for personal authentication. Vein biometrics is an emerging methodologycomparing to other systems, due to its strengths of low forgery risk, aliveness detection and stableness over long period of time. Literatures published based on different techniques used forand authentication process are described and evaluated in this paper. These processes hadgained an outstanding promise in variety of applications and much attention among researchers to provide combine accuracy, universality and cost efficiency. This paper in brief, reviews various approaches used for finger vein segmentation and feature extraction. The reviews are based on finger vein basic principles, image acquisition methodology, pre-processing functions, segmentation, feature extraction,classification, matching and identification procedures, which are analyzed scientifically, thoroughly and comprehensively.Based on the analysis, the ideal process and procedure is identified, which will be an idyllic solution for finger vein authentication.
System engineering approach for assisting physical-ly challenged and geriatric persons
Authors: Shankar Rao R. Gowri , Rayaguru N.K. , Kumar Thakur Sunil
Published: March 2018

The embedded application aims to provide the needful for the physically challenged people those who find difficulties in taking care of themselves in their day to day activities. A small survey has been undertaken at Cuddalore and Chennai of Tamilnadu regarding the problems faced by old aged physically challenged people. From their discussions and observations, it has been analyzed that old aged people have chronic disorders such as hearing, vision impairment, balance disorder, health disabilities etc. The microcontroller based data acquisition system is used to develop suitable applications such as medicine reminder system, guiding the location and object for blind people.
A review: algorithm used for beam forming systems
Authors: Pal Soma , Haque Azazul
Published: March 2018

Wireless communication uses a smart antenna to provide better coverage and capacity for the communication system. Main functions performed by the smart antenna are Direction of Arrival estimation (DOA) and beamforming (DBF). The beam forming is signal processing techniques which combine antenna array technology with high-performance up/down-conversion, analog to digital conversion and digital signal processing to provide receivers with very high spatial selectivity. This paper evaluates non-blind algorithm such as LMS, to compute the weight calculation for phased array antenna using Matlab Simulink.
Intrusion detection and avoidance of black and grey hole attacks using AODV Protocol based MANET
Authors: Shaikh Uzma , Paul Rajan Arokia
Published: March 2018

Manuscript removed
Efficient technique to estimate age using PCA & multi SVM classification
Authors: Jibanpriya Devi Laiphrakpam , Mazher Iqbal J L
Published: March 2018

Human interaction with computer is recent trend in computer technology. In order to obtain age information, image-based age estimation systems have been developed using information from the human facial images. We develop a new technology which identify the characteristic of human being like age. Facial information study will lead us to identify age. While generic growth patterns that are characteristics of different age groups can be identified. In order to create an accurate algorithm for age classification, we build an appropriate datasets for training is build using SVM classification method. We build an application base on MATLAB software to estimate age based on the trained data. Feature of face is extracted using PCA method and stored the data in array matrix. The accuracy of the trained data is 95.65%. We have an average matching percentage of 92%. We have Euclidean distance calculation method to verify the matched data and we found 100% verified.
Power and resource allocation for MIMO based two-tier heterogeneous network using small cell clustering algorithm
Authors: Prabhu Chandran K. , G. P Ramesh
Published: March 2018

Resource allocation problem in the two-tier heterogen eous MIMO network plays a vital role in avoidance of interference between the mobile users connected to the host directly and through the backhaul link. Two different frequency bandwidths are proposed to avoid the interference generated between the users placed in the interference region in the small cell. The mobile user frequency range is allotted for the link between small cell base station, macrocell base station and mobile user and millimeter frequency bandwidth is utilized between the small cell base station, small cell cluster heads and small cell users. The inter-small cell clustering helps the small cell base station node to select the number of antennas for communication and to send the request for allocation of bandwidth to eliminate the inter-cell congestion. The method was implemented in NS2 simulator, and the performance matrices were measured to analyze the efficiency and quality of service of the proposed topology.
Semantic educational data extraction using structur-al domain relationships
Authors: Srikanth Manchikatla
Published: March 2018

In the mining industry', some of the domains are most popular and it plays a vital role in the specific area. Educational Mining and Web-Data Extraction are the two important factors play a leading role in mining industry. The main objective of the proposed system is to extract the related contents from web using semantic (relating to meaning in language or logic) principles as well as to allow the providers to dynamically generate the web pages for educational content and allow the users to search and extract the data from server based on content. The main model of this system is to illustrate the adaptive learning system. For demonstration we consider the semantic principles for Educational content over dynamic environment. This site allows the providers to create web pages related to educational content dynamically and this will be getting approved by the Administrator to live in process. Once the site is live the users can search for the exact content present into the site based on semantic principles. The proposed model is designed for dynamic web data extraction and content analysis from the extracted data due to educational principles. In the proposed system Semantic Web Extraction (SWE) procedures are highly analyzed and utilized for content manipulations. Energetic data extraction scheme for users based on educational content rather than header, title, meta tags and descriptions.
Performance enhancement analysis of an isolated DC-DC converter using fuzzy logic controller
Authors: Muthu Balaji S. , Anand R. , Senthil Pandian P.
Published: March 2018

High voltage gain dc-dc converters plays an major role in many modern industrialized applications like PV and fuel cells, electrical vehicles, dc backup systems (UPS, inverter), HID (high intensity discharge) lamps. As usual boost converter experiences a drawback of obtaining a high voltage at maximum duty cycle. Hence in order to increase the voltage gain of boost converter, this paper discusses about the advanced boost converter using solar power application. By using this technique, boost converter attains a high voltage which is ten times greater than the input supply voltage. The output voltage can be further increased to more than ten times the supply voltage by using a parallel capacitor and a coupled inductor. The voltage stress across the switch can be reduced due to high output voltage. The Converter is initially operated in open loop and then it is connected with closed loop. More over the fuzzy logic controller is used for the ripple reduction.
Detection of dengue disease using artificial neural network based classification technique
Authors: Balasaravanan K. , Prakash M.
Published: March 2018

The information about the patients can be maintained with clinical documents. By keeping huge volume of clinical documents we can easily predict the occurrence of any disease in the patients. Dengue is considered to be one of the vital disease which are spreading in more than 110 countries. It is a vector borne disease caused by the mosquito’s of female Aedes Albopictus and Aedes Aegypti which are well suited human environment. We have implemented a data mining technique called ANN which is a well-known technique for classification of data used here to classify diseases. We have analyzed the patients’ dataset for the occurrence of dengue and experimented with Weka and Netbeans IDE and the result is proved to be more accurate than the CART algorithm.
Scalable dynamic key management for location based services
Authors: Ramamani S. , Karthika S.
Published: March 2018

A Scalable key  management for  enforcing spatial-quality access control on public broadcast services. This authorization  model  is  used  to  construct  Authorization  keys using efficient, secure and scalable Hierarchical key. Secure media broadcast over Internet poses unique security challenges.   One   important   problem   for   public   broadcast location- services (LBS) is to enforce access control on a large number of subscribers. This is achieved by providing an authorization model in constructing authorization keys using efficient, secure and scalable Hierarchical key graphs. And minimizes number of keys that needs to be distributed is thus scalable to a large number of subscribers and the dimensionality of the authorization model. In an offline basis the map viewer is loaded with collection of tiles or segments.  The entire map is not loaded fully. If  the user key and the segment key is matched with each other then the requested regions are loaded and displayed. Otherwise is blocked for the unauthorized user.
Early prediction of systemic lupus erythematosus using hybrid K-Means J48 decision tree algorithm
Authors: Gomathi S. , Narayani V.
Published: March 2018

The objective of the paper is to propose an enhanced algorithm for the prediction of chronic, autoimmune disease called Systemic Lupus Erythematosus (SLE). The Hybrid K-means J48 Decision Tree algorithm (HKMJDT) has been proposed for the effective and early prediction of the SLE. The reason for combining both the clustering and classification algorithms is to obtain the best accuracy and to predict the disease in the early stage. The performance of algorithms such as Naïve Bayes, decision tree, random forest, J48 and Hoeffding tree has been combined with K-means clustering algorithm and compared in an effort to find the best algorithm for diagnosing SLE disease. The results of the statistical evaluation with the comparative study show that the effectiveness of different classification techniques depends on the nature and intricacy of the dataset used. K-means combined with J48 algorithm shows the best accuracy rate of 82.14% on the pre-processed data. The work-flow has been proposed to show the execution of the algorithm.
Ontology based search result optimisation using singular matrix
Authors: Divya R. , Angel Latha Mary S.
Published: March 2018

In recent era, today a many firms share their service/product descriptions. With that, many meaningful information  in the textual form is hidden under the unstructured text. Algorithms like information extraction enable the identification of structured relations and they does not produce an optimal result and it is much costlier to operate with headlines of a text which has no examples of the target structured information. We propose a new approach which facilitates the formation of a structured metadata by recognizing documents which are likely to have some type and this information is to be subsequently used for both segregation and search process. Our approach is based on an idea that some attributes of a text will match with the query object which acts as identifier both for segregation as well as for storage and retrieval. Our implementation results show that our approach provides some superior results than existing approaches which rely only on query content or on textual information, to discover the key attributes.
An advanced ilrcpsd technique for bridging the competency and cognitive skills of students in higher education
Authors: Christy A. Joy
Published: March 2018

Data mining refers to the extraction of meaningful knowledge from large data sources as it may contain hidden potential facts. In general the analysis of data mining can either be predictive or descriptive. Predictive analysis of data mining interprets the inference of the existing results so as to identify the future outputs and the descriptive analysis of data mining interprets the intrinsic characteristics or nature of the data. Clustering is one of the descriptive analysis techniques of data mining which groups the objects of similar types in such a way that objects in a cluster are closer to each other than the objects of other clusters.  K-means is the most popular and widely used clustering algorithm that starts by selecting the k-random initial centroids as equal to number of clusters given by the user. It then computes the distance between initial centroids with the remaining data objects and groups the data objects into the cluster centroids with minimum distance. This process is repeated until there is no change in the cluster centroids or cluster members. But, still k-means has been suffered from several issues such as optimum number of k, random initial centroids, unknown number of iterations, global optimum solutions of clusters and more importantly the creation of meaningful clusters when dealing with the analysis of datasets from various domains. The accuracy involved with clustering should never be compromised. Thus, in this paper, a novel classification via clustering algorithm called Iterative Linear Regression Clustering with Percentage Split Distribution (ILRCPSD) is introduced as an alternate solution to the problems encountered in traditional clustering algorithms. The proposed algorithm is examined over an educational dataset to identify the hidden group of students having similar cognitive and competency skills.  The performance of the proposed algorithm is well-compared with the accuracy of the traditional k-means clustering in terms of building meaningful clusters and to prove its real time usefulness.
Realization of speech in design intent of geometric modelling
Authors: B P Sreeja , K G Amrutha , Benedicta J Jeni , V Kalaiselvi , R Ranjani
Published: March 2018

The conventional interactive mode is especially used for geometric modeling software. This paper describes, a voice-assisted geometric modeling mechanism to improve the performance of modeling, speech recognition technology is used to design this model. This model states that after receiving the voice command, the system uses the speech recognition engine to identify the voice commands, then the voice commands identified are parsed and processed to generate the geometric design based on the users voice input dimensions, The outcome of the system is capable of generating the geometric designs to the user via speech recognition. This work also focuses on receiving the feedback from the users and customized the model based on the feedback.
An effective method for preventing chain from snatching
Authors: Prakash M. , Nandhini K. , Narmatha K. , Swetha SV. , Srikanth J.
Published: March 2018

Chain snatching is a serious threat scaring the public and a challenging issue for the police department to trace the offenders and recover the gold. To resolve this issue, the city police installed CCTV cameras and organized awareness programmes in crowdy places. These initiatives reduced the crime to certain extent. However, things remain the same and chain snatching has considerably increased. As offenders usually target the women in the society, it is very difficult to recover emotionally the affected women by such incidents. In this paper, it is proposed to design a small electronic gadget to track continuously when the chain is snatched. This gadget uses power from the human body, wearable sensors to track the location, and wireless transmission technology with smart phones over long distances. This innovative design will reduce the anti-social activities in public places. It can also be used as a life saver during accidents in remote areas.
Rural Urban Classification (RUC) and its impact on funding pattern for urban development in the context of Indian cities
Authors: Dutta Sourovee , Roy Madhumita
Published: March 2018

This paper attempts to assess the impact of existing Rural-Urban Classification (RUC) on distribution of development funds among different realms of a settlement in Indian context. The paper questions upon the existing parameters of Census definitions for ‘Urban’ and ‘Rural’ and how it is affecting the ‘Master Plan Preparation Process’ for cities. Further, it indicates the role of RUC for creating disparity in distribution of various Government development funds among settlements, by discussing ten diverse contexts of the country. Due to census definition of settlement classification in a dichotomous fashion, all these developmental schemes are being applicable to Statutory Towns only, the Census Towns are completely ignored, especially the peripheral settlements around major urban centers. The paper seeks to analyze the interrelationship between present funding pattern and degree of urbanization in the selected cases, if exists at all. The paper concludes with a framework to establish a relationship between funding pattern and urbanization and develops an approach towards restructuring the settlement classification, where in the future, the Peri-Urban realms / Census Towns can be considered under urban development schemes, can undergo planned urbanization and as a result, disparity in terms of development can be minimized in the country.
Growth of urbanization in Himachal Pra-desh : A statistical analysis
Authors: Sharma Ridima , Tanwar Sakshi , Rizvi Safder
Published: March 2018

Cities appear as a major role player in the economy of any area reflecting the global integration of its economy as they house majority of large business groups. Migratory population and urban growth are direct contributors in this economic expansion, particularly in the present-day phase of globalization which in under developed countries causes densification and instability of agriculture and other existing land use thus bringing in the need of a proper land resource management.Focused attention is needed to integrate infrastructure development in various cities and linkages should be established between the creation and management of assets through a system of reforms for long-term sustainability. Himachal Pradesh is a hill state with some most difficult terrains of the country making the preparation of complete cadastral record of land nearly impossible only 80% of land is under revenue records. Thus the amount of habitable land decreases further with around 50 % of the land under forest cover. The aim of the study is to analyze the growth of urbanisation in Himachal Pradesh along with the factors responsible. This growth pattern can later be used to formulate proper land use management and infrastructure development policies for equitable development of the area.
Software metric evaluation on cloud based applications
Authors: Phani Sheetal A. , Ravindranath K.
Published: March 2018

Unbound growth in the cloud computing service models have motivated the companies building traditional software to be migrated into the clouds. During the high demand of the traditional applications, the performance and quality of the software were evaluated by the popular and globally accepted metrics. Nevertheless, after the migration of the same applications into the cloud, the expectation and definition of performance and quality has been changed. The beneficiaries of these applications are setting new milestones for the applications. Hence, the recent demand of the research trend is to build new software metric models to match the trade of between the new expectations from the beneficiaries and the software quality policies for organization or individual or state. Thus this work makes an attempt to understand the traditional software quality metrics and try to justify the applicability of these parameters in the trend of cloud based software applications. This work also proposes a novel metric method for performance evaluation for the migrated applications into the cloud, with the intension of formalizing and standardizing the cloud based metric methods unlike the recent trends.
Encryption techniques & access control models for data security: A survey
Authors: Dixit Rashmi , Ravindranath K.
Published: March 2018

In the process of sending information from sender to receiver, an unauthorized user may work in an active way (update it) or passive way (read or delay in sending). There must be some techniques which assures receiver that whatever information received from authorized user as well as must be same as sent from sender side, in addition to this receiver never make Denial of service. Nowadays sharing of information or resources is a very common thing from single user to the network to the cloud. When information is moving from one node to another node, security is a big challenge. When information is stored on the user’s computer, it is under control but when it is in movement user lose control over it. In the world of security, to convert information from one form to another form, Encryption is used, so that only authorized party will able to read. Encryption is a technique for any security-conscious organization.In this paper, we present basic access control models along with encryption techniques.
Review on auditing cloud consistency service
Authors: BajiVali Shaik , Kumar M N V V K Pavan
Published: March 2018

An increasing sort of groups or migrating their critical data era offerings, from tending to business intelligence, into public cloud computing environments. but, but cloud technologies or unendingly evolving, they nevertheless have not reached a maturity stage that allows them to offer users with high guarantee concerning the security in their info on the way facet existent provider level agreements. to influence this limitation, we've were given a unethical to propose a fixed of mechanisms that enhances cloud computing technology with more warranty skills. assurance will become a measurable assets, quantified by means of the quantity of proof to audit and retain at some stage in a privateness-maintaining and non-respectable fashion. by way of proactively grouping potential rhetorical proof, the cloud turns into extra accountable, while presenting its regular offerings. the various case of a security breach, the cloud provides the perfect reactive security framework for corroborative or repudiating claims. moreover, totally completely distinct levels of warranty relate to one-of-a-kind degrees of storage and privateness protection requested by means of customers, main to companion warranty-based price version for cloud services.
A survey on privacy preserving and content protecting location based queries
Authors: Praveen Kumar K. , Anitha M.
Published: March 2018

This paper presents a solution to one of the situation-based totally question problems. This downside is printed as follows: (i) a user desires to question a data of area records, referred to as factors Of interest (POI), and doesn't want to reveal his/her vicinity to the server way to privacy concerns; (ii) the proprietor of the state of affairs data, that is, the place server, would not wish to effortlessly distribute its statistics to any or all users. The scenario server needs to personal a few control over its data, since the data is its fine. A location based question resolution that employs 2 protocols that allows a person to privately verify and acquire vicinity statistics. The primary step is for a consumer to in private verify his/her region victimization oblivious switch on a public grid. Oblivious switch accustomed supply the goods a more secure resolution for every parties. the second one step involves a personal information retrieval interplay that retrieves the report with high communication performance. the answer this is gift is economical and realistic in numerous conditions. This paper consists of the effects of a operating example as an example the potency of our protocol.
An experimental evaluation of the impact of the EDoS attacks against cloud computing services using AWS
Authors: Bulla Suneetha , Basaveswara Rao B. , Gangadhara Rao K. , Chandan K.
Published: March 2018

Cloud computing is that the one among the quickest making and rising development in IT trade on pay-as – you-go premise. Flexibility is that the one among the properties of the cloud computing, it exhibits the response for DDoS ambush and created new quite strike significantly EDoS assault .This paper displays the impact of EDoS assaults on the cloud computing services, touching on single category of service. A check demonstrate was made public, performed associated contrasted and an expositive lining model. The trial test-bed was directed on Amazon internet Services cloud platform, it catches the cloud edges and incorporates range of execution measurements and value measurements, as an instance, range of running cases on the cloud, latency or latency , usage of distributed computing assets, throughput, and also the caused value as a result of the assault. The outcomes square measure introduced and conclusions square measure talked concerning.
Bigdata implementation of apriori algorithm for handling voluminous data-sets
Authors: Nagalakshmi M. , Surya Prabha I. , Anil K.
Published: March 2018

Apriori is one all instructed the key algorithms to come again up with frequent itemsets. Analysing frequent itemset could be an critical step in analysing based info and recognize association dating among matters. This stands as degree standard basis to supervised gaining knowledge of, that encompasses classifier and feature extraction strategies. making use of this system is vital to grasp the behaviour of structured data. maximum of the dependent information in scientific domain square measure voluminous. method such moderately info desires country of the artwork computing machines. setting up region such degree infrastructure is high priced. so a allotted environment admire a clustered setup is hired for grappling such situations. Apache Hadoop distribution is one all advised the cluster frameworks in allotted environment that enables by means of distributing voluminous data across style of nodes most of the framework. This paper specializes in map/reduce trend and implementation of Apriori formula for dependent info analysis.
Cantillever based MEMS pressure sensor
Authors: Siva Kumar M. , Srinivas Rao K. , Kumar Tulas Sanath , Prasad G R K , Hari Kishore K
Published: March 2018

Objective: We are analyzing the different piezoelectric materials which are best sutable combination for the design of pressure sensors used for the production of voltage.Our main theme is to find which combination gives high voltage.Methods:We are incorporating different layers on the cantilever beam such as piezoelectric material (PZT,BaTiO3), electrode(Pt,Al), insulator(Si3N4) on siliconwafer(SiO2). We had used these materials for MEMS pressure sensor utilizing diverse [different] Piezoelectric materials The relative study by simulation can be utilized to give the rules to a configuration and streamlining of execution of the distinctive piezoelectric micro cantilever pressure sensors.Findings:.We have designed, displayed and simulated our module in COMSOL software taking into account limited component strategy [FEM]. The structure made up of silicon on piezoelectric micro cantilever with cantilever beam. In reenactment [simulation] we have concentrated on varying so as to displacement and voltage connected pressure. It is observed that the induced voltage is practically straight [linear] with the applied forceImprovement:From this design we analysed that at particular dimensions of materialswithcombinationofPZTand Al gives best voltage than remaining combinations like PZT and Pt.
FPGA implementation of tunable arbitrary sequencer for key generation mechanism
Authors: Siva Kumar M. , Murali Krishna B. , Sai Tejeswi N. , Kumar Tulasi Sanath , Srinivasulu N. , Hari Kishore K.
Published: March 2018

In the present scenario information security has become a predominant issue. Cryptography is the process used for the purpose of information security. In cryptography message is encrypted with key produces cipher and decrypts the original message from cipher uses variety mechanisms and permutations. This paper presents a key generation mechanism suitable in cryptography applications which plays a vital role in data security. Random key generation techniques are multiplexed and configured in FPGA. In run time based on priority of section inputs randomly one method selectively produces a key which inputs to cryptosystem. Jitter process generates random numbers based on clock frequency triggered to oscillators, which produces pseudo random keys, but it consumes more resources when compared with other methods, but randomness in generated key is exponential. Pre stored random numbers in Block Memory are generated using IP core generator. The main advantage of the proposed model is to produce random keys which will be secure, predictable and attains high security. Due to its configurable nature, FPGA’s are suitable for wide variety of applications which can configure in runtime to implement custom designs and needs. Random number generation techniques are designed using Verilog HDL, simulated on Xilinx ISE simulator and implemented on Spartan FPGA.
Identifying images on moving objects to enhance the recognition
Authors: Raghavendra C. , Kumaravel A. , Sivasubramanian S.
Published: March 2018

To explore another group of algorithms that break down time-changing scenes, perceiving and following educated questions after some time. The new procedures are wanted to address key request of moving pictures, including capricious moment to-minute changes in region, gauge, presentation, lighting, and obstacle. We exhibit a novel endeavour in which objects turn and divert while suspended from a flexible's arms;the identification and following calculation joins attributes of various earlier distributed strategies, consolidating them in a novel mould to empower this recently presented assignment. Different strategies have discovered that enhancing recognition will enhance following; we demonstrate that enhanced following enhances object recognition.
A flexible data hiding scheme using differential dual mapping
Authors: Femi D , Thylashri S , Ravikumar S
Published: March 2018

Steganography is the approach with invisible communication. In our proposed system maximum of 3000 characters can be embedded in the image which is chosen from a video and a different type of frame work for hiding and extracting are provided at both nodes. As an extension of this work, the same algorithm can be implemented in three channels of the colour image. A lossless data hiding technique based on the differential pair mapping algorithm by embedding data bits in an image is proposed, then a generated image is embedded with large amount of data in the form of bits in the mean-removed via the proposed algorithm. Experimental outputs shows that stego-image in our method has high capacity and security with certain robustness and the PSNR value is higher than the other techniques.
Aneffective cloud parcelling in a load balancing model
Authors: D Hemalatha , Begum Almas
Published: March 2018

Load adjusting may be a standout amongst the vital issues for cloud registering. Since a large number for clients are gaining entrance to the cloud each moment, the idea of load adjusting need a critical sway on the execution about cloud registering. When nature will be thick, as substantial Furthermore complex, the divisions simplifies those load in the cloud. This paper executes two effective calculations for performing an exceptional load equalization model to the cloud surroundings in light of those cloud parceling particular idea for a switch component on decide diverse methodologies to diverse particular circumstances. Previously, load adjusting strategy, enhanced round robin method also diversion hypothesis strategy need aid connected with move forward those effectiveness done cloud.
Enforcing security in cloud environment using elliptic curve cryptography and third party auditing
Authors: K Latha
Published: March 2018

This paper has been withdrawn.
Location based security architecture evaluated using ATAM
Authors: Begum Almas , Cyril Raj V
Published: March 2018

The usage of internet along with growing number of smart phones let public to access and store delicate data , Mobile banking, Contact lists, information on Location(EG: GPS), Etc. regularly.So it is becoming a challenging task to provide Security to smart phones for protecting data. The most important step in the early stage of software development is architecture representation and analysis.The objective of this paper is to propose an architecture for smart phones, represent using MVC model and evaluated using ATAMto extractsecurity quality attributes.ATAM list the quality attributes in the following categories that is Risk, Non-Risk, Tradeoff and sensitivity points.
Secure and duplication detection in cloud using cryptographic hashing method
Authors: Periasamy J. K. , Latha B.
Published: March 2018

De-duplication systems are adopting De-duplication strategies such as client side or server side De-duplication.Particularly, in the beginning of cloud storage, data De-duplication techniques happen to add importance to store original volumes of data in the cloud. This technique motivates the enterprise and organization to farm out data storage to cloud service providers, as proof of several case studies was done.Block level de-duplication is used to discover, removes redundancies compare with previously stored information. The file will be separated into smaller segment as given by the system size or uneven size blocks or chunks whatever we need. Using predetermined size of blocks, the system can simplify the computations of block limits, although using uneven size blocks provides improved de-duplication. Secure Cloud introduce a new concept to audit entities with continuation of a Map Reduce cloud, which is used to help the client is easy to make data tags before feeding the data and audit with theprobity of data is analysed and stored in the cloud. the subject of previously finished work is fixed so that the computational load at user or auditor has huge amount of tag making. In accumulation, Secure Cloud also enables secure de-duplication. Perceive that the “validity” measured in Secure Cloud is the deterrence of leakage, the side channel information. In order to check the leakage of such side channel data, the work accept the custom and design a proof of rights protocol amid cloud servers and clients, which permit clients to confirm the cloud servers what they exactly own the object information.
Single phase PQ theory based control of active power filter for power quality enhancement in DG connected microgrid
Authors: Gayatri M T L , M Parimi Alivelu
Published: March 2018

The number of DG systems like Photovoltaic and Wind Energy Systems are now penetrating more into the conventional power system. In microgrids, loads and generators are in the close vicinity. However, due to the unpredictable nature of non-conventional energy resources like wind and solar with varying loads, it is almost impossible to maintain an accurate power balance between the source and load. Furthermore, to compensate reactive power and harmonics of this AC microgrid and also to maintain a reasonable power quality, it is essential to use a state-of-the-art controller like shunt active power filter (Sh. APF). This research work is an effort in the same direction wherein the actual environmental data like solar irradiation and wind profile have been collected with the help of the weather monitoring system in BITS-Pilani Hyderabad Campus and this data has been used in conceiving and designing an AC microgrid of suitable capacity. The loads included in this system are both harmonic and reactive in nature. Finally, a Sh. APF with an appropriate control scheme has been incorporated in the proposed AC microgrid so that impeccable power quality is maintained at the load end, apart from achieving a good power balance.
Fuzzy peak current controlled integrated PFC convert-er with slope compensation
Authors: Subbarao Mopidevi. , Saibabu Ch. , Satyanarayana S.
Published: March 2018

This propounded a novel method of design and implementation of a fuzzy peak current mode (PCM) controlled Buck Integrated Power Factor Correction (PFC) Converter with compensation ramp. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are presented. Results show that converter meets international regularity commission regulations.
A novel k-nearest neighbor distance based under sampling for improved opinion mining on skewed data using random forest
Authors: Ratna Babu P , Bhanu Prakash Battula Dr
Published: March 2018

In recent years, consumers are performing a pilot investigation using online resources before making any decision of purchase. One of the most popular social blogging online medium is twitter. The opinions collected from twitter at any point of frame in real world scenario are tending towards class imbalance in nature. The existing algorithms for opinion mining can work better on class balance nature, where opinions (positive and negative) are almost balance. In this paper, we propose a novel approach known as Improved Opinion Mining using Under Sampling (IOMUS) to efficiently summarize the reviews of class imbalance opinion mining corpus. The experimental set up is performed on the collection of opinion mining class imbalance dataset consisting of “1155” instances. The experimental results suggest that improved performance is obtained by the proposed IOMUS algorithm than the traditional approach.
Low-power, low-latency transceiver design using d-TGMS flip-flop for on-chip interconnects
Authors: Saravanakumar U. , Suresh P , Vimal S.P
Published: March 2018

The routers in Network on Chips (NoCs) are used to transmit the data among the Processing Elements (PEs) in the field, and it can be done through transmission links between the routers. Traditionally, the data transmission between the PEs of NoC is carried out by the parallel bus which consumes more power, leads to be complex routing strategies and occupies more area within the field. Instead of parallel bus, serializes and deserialisers are used for serial data transmission, which consumes very less power and area than traditional method. To implement serialiser-deserialiser at the transceiver in the router for on chip communication, a three-level encoding technique is implemented in this design, which eliminates power hungry blocks in earlier works, such as Phase Locked Loops, Feed Forward Equalizers, Decision Feedback Equalizers and the repeaters along the transmission line. In this paper, a low-power transceiver is proposed using modified C2MOS flip flop and Dynamic TGMS flip flop circuits in order to minimize the delay. The power reduction of 35.683% and the delay reduction of 44.71% were achieved in the proposed transceiver than the NAND gate based D flip flop transceivers.