bluuebunny/crossref_metadata_2025 huggingface dataset:
How Can Environment Influence Ultra-Long Radio Propagation?
Authors: S. Mikhailov M , A. Volkova A , A. Permyakov V
Published: April 2019

Even a small deviation of the environmental parameter can lead to significant changes in the propagation over long distances. The article investigates the radio propagation above the sea, taking into account the distortion of the refractive index caused by evaporation. This feature of the troposphere is called the evaporation duct. The radio propagation over-the-horizon in the evaporation duct is possible. The conditions for optimal excitation of the evaporation duct by a highly directional antenna are studied. The main factors influencing the range of the radio link are studied, such as the height of the transmitting antenna and attenuation in air and in hydrometeors and diffraction at sea waves. Also, the effect of vertical variations the evaporation duct on radio propagation is considered. In addition, elevated-surface duct may appear over the sea surface separately or together with the evaporation duct. The effect of an elevated surface and mixed ducts on the radio propagation is considered. The radio propagation is calculated by the parabolic equation method.
Design of ALU System Using Novel PMOS and NMOS for Low Power and High Speed Applications
Authors: Babu CH Ashok , V.R. Ravindra J , Lalkishore K
Published: April 2019

This paper tailors 8 bit ALU for high speed and low power applications. In this design a novel PMOS and NMOS are used in place of conventional PMOS and NMOS. The main disadvantage of conventional PMOS and NMOS is low speed. With the technique of forward body biasing a novel PMOS and NMOS are derived and speed is improved. For each sub module of ALU power delay product percentage is calculated. Percentage improvement in power delay product of Novel ALU is shown in table 27.
Implementation Of Wearable Radiation Detector
Authors: Josephin  Arockia Dhivya A , Chandrasekaran R , Elsa Joseph Josline , R.Thamizhvani T , K.Arun S , Manoj V
Published: April 2019

Wearable devices are always in race to support and assist the human healthcare. The wearable devices are commonly used to monitor the physiological parameters of the humans and transmitting to the gadgets. In this paper we proposed a novel idea of monitoring the radiation in the environment and alerting the users about the radiation and level of radiation in the environment. In this paper the implementation of a radiation detector based on a semiconductor photodiode. The awareness of the hazardous radiation should be created and the people should aware of the hazardous radiation in the environment. The arduino controller proposed  in the prototype acts as the heart of the wearable device. The detected radiation is transmitted through Bluetooth zixbee module and viewed in smart phones.
Hand Gesture Interface for Smart Operation Theatre Lighting
Authors: Joseph Jessita , D S Divya
Published: April 2019

Operation theatre lighting system is a critical component in the operation theatre. Focusing the light to the area of surgery and varying the light intensity is manually done in currently available systems. Disruption of surgeon’s attention and possibility of infection due to non sterilized hands is a major setback of the manual controlling method. This usually requires assistants to adjust the position and intensity of the light system by commands from the surgeon. So, designing an intelligent lighting system for operating theatre which can maintain the intensity values to the required level without shadow effect to the operation area is an important requirement. Proposed system makes use of accelerators in the gloves worn by surgeon so as to track hand movements. Pre defined hand movements can be configured to move the lighting system up, down, left or right. Accelerator input is interpreted for its corresponding movement by controller at transmitter side and it is wirelessly given to the receiver side using an nRF module. At the receiver side the incoming command from the nRF is taken and suitable response generated at the motor driver by the controller to move the lighting device. In the same way predefined hand signal can be used to vary the intensity of the light by using microcontroller to drive an LED driver.
Effective elimination of harmonics on the part of chosen dc bus in dual active type converter
Authors: Janaki N , R.Krishna Kumar Dr
Published: April 2019

In order to manage the flow of power in the dual bridge type converter, a modulation technique called phase shifted square wave is employed. As an outcome, increased range of ripples in current is resulted, and that further provokes the vibration in inductance and capacitance circuit. Due to this effect, there exists uncertainty in the value of current and voltage, failure of operating components and stress in the filter. To miti-gate the above ill effects, three level modulation can be done using three phase shift square wave control angles. These three angles now elimi-nate the harmonics in chosen DC link and the harmonic eliminating procedure is justified and simulated.
An approach to automated retinal layer segmentation in SDOCT images
Authors: G Mohandass , Krishnan G Hari , R J Hemalatha
Published: April 2019

The optical coherence tomography (OCT) imaging technique is a precise and well-known approach to the diagnosis of retinal layers. The pathological changes in the retina challenge the accuracy of computational segmentation approaches in the evaluation and identification of defects in the boundary layer. The layer segmentations and boundary detections are distorted by noise in the computation. In this work, we propose a fully automated segmentation algorithm using a denoising technique called the Boisterous Obscure Ratio (BOR) for human and mammal retina. First, the BOR is derived using noise detection, i.e., from the Robust Outlyingness Ratio (ROR). It is then applied to edge and layer detection using a gradient-based deformable contour model. Second, the image is vectorised. In this method, a cluster and column intensity grid is applied to identify and determine the unsegmented layers. Using the layer intensity and a region growth seed point algorithm, segmentation of the prominent layers is achieved. The automatic BOR method is an image segmentation process that determines the eight layers in retinal spectral domain optical coherence tomography images. The highlight of the BOR method is that the results produced are accurate, highly substantial, and effective, although time consuming.
Experimental investigation of soil blended with lime and lignosulphonate
Authors: M.K Soundarya , S Bhuvaneshwari , Kumar.S Prasanna
Published: April 2019

The deterioration of the structures which are built on the expansive soils is due to its volume change behavior, due to the presence of Mont-morillonite minerals in soil. Hence this soil requires adequate stabilization before commencement of any construction activities. The stabili-zation phenomenon in which addition suitable additives completely alters the behavior of the soil by changing the basic properties and there-by increasing the bearing strength of soil. The choice of the additives depends on the ease and permanence of the stabilizing characteristics achieved for the expansive soil. In this paper, an attempt is done to evaluate the behavior of soil when blended with additives like saw dust ash, lime and lignosulphonate at varying blending ratio. The objective of the research work is to focus on the change in the plasticity charac-teristics by utilizing the industrial waste as additive due to its cementitious value, making it eco-friendly and reduction in cost. Lignosulpho-nate is a by-product of paper pulp industry, generated during the sulphite process. From the literature, the optimum percentage for stabilizing works for lime and lignosulphonate was found to be two to eight percent and one to three percent respectively. Basic Index properties and compaction characteristics test were determined for both virgin and treated soil. The additives decreased the plasticity index, causing ag-glomeration of clay particles involving pozzolanic reaction.
Design and implementation of blue tooth aided inexpensive safety band for fishermen
Authors: Pradeep Jayarama , Sridharan S
Published: April 2019

This paper presents with a new reliable inexpensive wireless health monitoring system designed for fishermen. Presently there are many smart devices available for the general population with many features in them that not put to use in every situation of our life. The most important aim of this paper is to deal with the safety and well-being of the fishermen during their voyage. The major cause of fishermen’s poor health during voyage is due to lack of proper health guidance to the fishermen. This paper proposes with the monitoring of the fisherman’s health through various sensors and relaying of those signals through blue tooth connectivity. The monitoring signals are finally obtained in Android mobile devices that can be used by the crew in real-time. The proposed approach is feasible for fishermen by establishing a software application to monitor the health of the fisherman. The proposed system is simple, economical and specifically designed for the people of the fishing community and it also enhances the motor control of the boat through the software interface by using a set of soft keys.
A cad system for improving classification performance in breast cancer detection
Authors: Babu Bincy , Josephin Arockia Dhivya A , Chandrasekaran R , R. Thamizhvani T , J.Hemalatha R
Published: April 2019

Early detection is a key factor in reducing breast cancer mortality rate. Research works in the area of mammography plays an important role in identification of calcification clusters and detection of breast cancer.The purpose of proposed research is to find the best combination of feature extraction algorithm to classify mammogram into benign and malignant. It includes Marker Controlled Watershed Segmentation Technique (MCWS), feature set extraction methods and SVM classifier algorithm. The GLCM, GLRLM and first order texture descriptors are used to describe the calcification clusters.The standard inputs such as normal and abnormal breast images for the proposed system are taken from Digital Database for Screening Mammography (DDSM). The computational study showed that combination of all the three features descriptors provide better classification result with 97% accuracy and it ensures improved the CAD system performance for small training data sets compared to existing techniques.
Edge detection for detection of brain tumour in CT images
Authors: R. Thamizhvani T , Josephin Arockia Dhivya A , Akshaya S , Dhanalakshmi K , Chandrasekaran R , Elsa Joseph Josline
Published: April 2019

Brain tumour can be defined as the continuous and uncontrolled growth of the cells in the regions of brain. Analysis and detection of brain tumours from the computed tomography images can be performed by various image processing algorithms. Edge detection is special type of image processing technique, which uses operators for functioning. The Computed Tomography images are obtained from the standard data-base which undergoes pre-processing technique. Contrast adjustment is performed to enhance the region of brain tumour. Edge operators of different types are applied to the images for identification of the boundary of the brain tumour region. Appropriate edge operator for de-termination of the boundary is defined by comparing the image quality and accuracy parameters. These parameters illustrate that canny oper-ator is described to be more definite for the detection and analysis of the boundary and region of brain tumour in Computed Tomography images.
An improved hadoop load rebalancer
Authors: J Geetha , Bhaskar N Uday , Reddy P Chenna
Published: April 2019

Hadoop has taken an important space in the market as a result of quick growth of data. Load rebalancing in Hadoop is an area of major concern due to the unpredictable nature of tasks, new nodes added to cluster and node computing capacities. A load rebalancer that is efficient can help to improve the performance and reduce computation time. Load rebalancer and schedulers are used interchangeably in many cases. The main idea of this paper is to explore how load balancers / schedulers work in case of native Hadoop also included insights from some of the works, which identify and addresses the problems around schedulers and rebalancers. In this paper, an Improved Hadoop Load Re-balancer adopts a strategy to move the task to the node which has replica, which is faster and is topologically closer, which reduces the network congestion and execution time of Hadoop.
Expert system for building cognitive model of a student using 8-puzzle game and for career assessment
Authors: Chandra Prakash V , K. R. Sastry J , Anusha K. , Ashok Kumar P , Venkatesh N. , Ravi Teja G.
Published: April 2019

Career assessment is useful for a student in order to know the suitable jobs for him/her in future basing on student’s knowledge memory power, Intelligence, psychological aptitude, etc. During the academic program of a student, it is very important to assess the appropriate career(s), so that a student can select some appropriate electives and some specialized subjects, which lead to an appropriate career(s). In the process of academic program of a student, it is highly essential to plan his/her career. Generally, the career counselor in an institution analyzes the student’s academic record/Cumulative Grade Point Average (C.G.P.A.) and predicts suitable career(s) in industry. In case of students belonging to Computer Science and Engineering branch, counselor will suggest some appropriate jobs in software industry viz. software designer, software engineer, tester, marketing person, etc. based on the academic record. Apart from academic record, one should also consider the student’s psychological factors like intelligence, problem solving ability, patience, etc. to predict a better career. We developed an expert system for predicting career by assessing psychological factors of a student like problem solving ability, intelligence and patience levels of a student. In order to assess these psychological factors, we developed 8-puzzle game to assess student’s intelligence and planning ability levels, fastness in playing game, and patience levels. The system requests the student to play 8-puzzle game many times and displays the scores of student. A career table is designed which consists of list of careers in software industry and the minimum levels of requirements in academic record, intelligence, patience, etc. The academic record and psychological factors of the student are compared with the minimum levels required for each career and thus the system predicts the matching career(s) for the student.
C3IMD : An Efficient Class-Based Clustering Classifier for Im-putation Intelligent Medical Data
Authors: Premalatha P. , Subasree S , K Sakthivel N
Published: April 2019

The fast evolution in medical application yields to abundance of huge amount of data in volume and velocity.  Due to this heterogeneous medical data generation from clinical trials, its typically not free from missing values.  Previously introduced imputation techniques don’t discourse the high spatiality problems and application of distance function that even have curse on high spatiality problem. Thus, there’s a necessity an Efficient and Accurate technique to overcome this problem in Medical Data Analysis. To address the above mentioned issues, this research work proposed an efficient Class-Based Clustering Classifier for Imputation Intelligent Medical Data (C3IMD).  This work was implemented in Bio Weka and studied thoroughly. To improve the classification and prediction accuracy, missing data in Medical Data Sets were filled efficiently with the help of proposed Cluster-Classifier Model. The experiments are repeated with various datasets and results are evaluated and compared with existing classifiers WPT-DELM and SVM-DELM. From the results obtained, it was revealed that the proposed Class-Based Clustering Classifier for Imputation Intelligent Medical Data (C3IMD) is outperforming both the existing models in terms of Classification Accuracy, Sensitivity, Specificity and FScore.
Mutual authentication technique for detection of malicious nodes in wireless sensor networks
Authors: Singh Inderpreet , Kumar Rajan
Published: April 2019

The wireless sensor network is the decentralized type of network in which sensor nodes can join or leave the network when they want. Due to self configuring nature of network security and energy, consumption is the major issue of the network. The Sybil is the denial of service type of attack in which sensor nodes can change its identification multiple times in the network. In this research work, mutual authentication technique is proposed which detect malicious nodes from the network which is responsible to trigger Sybil attack in the network. The simulation of proposed algorithm is performed in NS2 and results shows that proposed technique performs well in terms of energy and throughput
A Hybrid Modeling of Long-Term Electricity Consumption Forecasting Based on ARIMA and ANN: The Case of Thailand with Projection
Authors: Jaisumroum Nattapon , Teeravaraprug Jirarat
Published: April 2019

Modeling and forecasting of electricity consumption can provide reliable guidance for power operation and planning in developing countries such as Thailand. In this study, formulates the effects of two different historical data type is modeled by auto regressive integrated moving averaged (ARIMA) and artificial neural network (ANN) based on population and gross domestic product per capita (GDP). The derived model is validated by various statistical approaches such as the determination coefficient. Additionally, the performances of the derived model are assessed using mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE). Three scenarios are used for forecasting Thailand’s electricity consumption in 2011 – 2015.  The simulation results are validated by actual data sets observed from 1993 to 2010. Empirical results showed that the proposed method has higher accuracy compared to single ARIMA and artificial intelligence based models.
Member States in the EU Research and Innovation Framework Programmes
Authors: Bērziņa Dina
Published: April 2019

Sustainable growth is the key driver of development and it depends on research and innovation which creates investment opportunities for new and better products and services and thereby increases the competitiveness and employment. Research has a long history on our old continent: the European Union is a research think-tank, still the world’s leading producer of scientific knowledge but is lagging in implementation of the results. Therefore, constitution of the Framework Programmes enabled better coordination of research among all the participating countries. The EU Framework Programmes celebrated 30 years of operation recently – they have become a key element of the research policy in Europe today. Since the First Framework Programme launched in 1984, the current Horizon 2020 has expanded in scope and scale by attracting more resources and participating countries performing research on diverse topics. This paper provides an overview of the EU Member States’ engagement with emphasis on the two last Framework Programmes. It outlines the current disproportion with respect to different country group performance and provides links to various data sources for further studies.
Usability Testing of “CHIsel”: Cultural Heritage Information System Extended Layers of Interactive 3D Computer Generated Images and Relational Database
Authors: G., Tromp J , Chowdhury J , C. Torres J , Thi My Hoang
Published: April 2019

CHISel is a cultural heritage information system that supports the extensive organization, tracking, and implementation of data on 3D computer generated models of archaeological artefacts and site. We conducted a detailed user test of CHISel, to assess the usability of the complex and numerous system features, in order to assess the efficiency, user satisfaction, memorability, learnability, and accuracy. These qualities are particularly crucial to software like CHISel, which has a high learning curve for new and inexperienced users, involves professional, field-specific users, requires high-precision, high accuracy and contains a large amount of complex system features that must function well in order for the program to work as an apt integrative system.
Robotic Teaching Aid for Disabled Children: A Sustainable Solution for Industrial Revolution 4.0
Authors: Zamin N , I. Arshad N , Rafiey N , S. Hashim A
Published: April 2019

Many special needs children suffer from a common characteristics impairment which appear as disability to interpret social cues, fail to use joint-attention tasks as well as a failure in social gaze when communicating.  This what makes them different than the normal children. The results of this difficulty are the special needs children often get frustrated when they are unable to expressively share their feeling and socially interact with the community. This research is investigating the problems faced by autistic, down syndrome and slow learner children to respond and communicate appropriately with the people around them and to propose an efficient approach to improve their social interaction.  Malaysian education policy is to integrate students with learning difficulties or special educational needs.  Thus, the development of a robotic approach using LEGO Mindstorms EV3 to aid the teaching and learning of special needs children especially autism in in Malaysia in introduced in this paper.  Robotic approach in special education provides changes, inclusive and sustainable development of the disabled community towards supporting Industrial Revolution 4.0.
Public Management in local government units in the example of the municipality of Mstów
Authors: Kabus Judyta , Kańa Radomir , Nowakowska-Grunt Joanna
Published: April 2019

Today’s units of local government is identified not only with the power that is necessary for the realization of public tasks but above all, it is accentuated by the importance of meeting the needs which are important from the point of view of the community, including the Management processes.The purpose of this work is to present a smooth and effective public management process carried out by the municipal government of Mstów. This municipality applies practical New Public Management instruments in building and implementing the regional development strategy. The article was prepared on the canvas of literature studies on the management, organization, and planning of universal services of a public interest and analysis of the statistical data collected by the municipality.
Software process models: a review and analysis
Authors: A. Haraty Ramzi , Hu Gongzhu
Published: April 2019

Modeling of software process has been a very challenging problem and constantly debated in the software development community in the past 30+ years, largely due to the complex nature of the software development process that involves not only the technical knowledge and skills but also many other factors, such as human, management, quality assessment, and cost. Although the situations of creating software differ greatly from one case to another, there are some common themes shared by many of the situations, and hence various software process models have been emerged to address these common themes. In this paper, we present a review of the software process models commonly used in practice, from traditional to agile, and assessment of these models with metrics and case studies.
Multi-level Structured Tree based Routing for Energy Efficiency in WSN
Authors: Thirupathi Regula Dr , Mohammed Ali Hussain Dr
Published: April 2019

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work.  The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.
Design, Analysis and Selection of Planar Parallel Mechanisms
Authors: Vijay P , A. Srinath Dr , Sri Naga Venkat P , Ranganath L , Appalaraju P
Published: April 2019

This paper presents the application of methodology for ten bar single degree mechanisms and selecting the best among them at the conceptual design stage itself. This saves lot of time for one wants to carry away analysis for getting desired output of the mechanism at the design stage. The methodology has been applied to Tiscler robot hands successfully and has obtained the best mechanism in motion distribution among the links of the chain.
Shielding The Networks Depending On Linux Servers Against Arp Spoofing
Authors: Rama Koteswara Rao Ganga , R.Satya Prasad Dr
Published: April 2019

Escalating Internet-dependent business is giving rise to a corresponding growth to the threats on servers catering to this growing Internet usage. There is a need for research to secure the servers from attackers. Today, the most dangerous attack that can be performed inside the network is ARP Poisoning, which can provide fake identity to steal the authentic network traffic or modify the authenticated network traffic. In the present scenario, any network can become an easy target of ARP spoofing which is highly difficult to detect and prevent. The aim of the research paper is to focus on detecting and preventing the ARP Poisoning attack, by using open source technologies.
Implementation of Identity Management Using Open ID Protocol
Authors: L.Swathi K , Divya P , Amruthavarshini A , B.VijayaBabu Dr
Published: April 2019

Identity Management has turned into an imperative theme in the distributed computing conditions, where cloud suppliers need to control usernames, passwords and other data used to recognize, validate and approve clients for some, unique facilitated applications. Every one of the vulnerabilities seen on non-cloud arrangements are presently found in the cloud, yet different issues are presented. One would be the capacity to oversee characters of clients when sending information to the cloud .Second would be the identity administration of clients accepting information from the cloud. Furthermore, third would be administration of user id’s when information is moved from cloud to cloud. Open ID is an open standard and decentralized confirmation protocol. Promoted by the non-benefit Open ID Foundation, it enables clients to be verified by co-working locales (known as Relying Parties or RP) utilizing an outsider administration, taking out the requirement for website admin to give their own particular specially appointed login frameworks, and enabling clients to sign into numerous inconsequential sites without having a different personality and secret key for each.
An Efficient Density Based Clustering approach for High Dimensional Data
Authors: Vijay Bhaskhar Reddy PP COMP.SCI.0560 Y , L.S.S Reddy Dr , S.S.N. Reddy Dr
Published: April 2019

Data extraction, data processing, pattern mining and clustering are the important features in data mining. The extraction of data and formation of interesting patterns from huge datasets can be used in prediction and decision making for further analysis. This improves, the need for efficient and effective analysis methods to make use of this data. Clustering is one important technique in data mining. In clustering a set of items are divided into several clusters where inter-cluster similarity is minimized and intra-cluster similarity is maximized. Clustering techniques are easy to identify of class in large databases. However, the application to large databases rises the following requirements for clustering techniques: minimal requirements of domain knowledge to determine the input specifications, invention of clusters with absolute shape & certainty of large databases.. The existing clustering techniques offer no solution to the combination of requirements. The proposed clustering technique DBSCAN using KNN relying on a density-based notion of clusters which is accomplished to discover clusters of arbitrary shape.
Application of Gray Relation Analysis for Multi-Response Optimization of Plasma Heat Assisted Turning Performance
Authors: Babu Rao Thella , Pilli Venu , Revanth Sai Venkat Nallamotu , Pavan Nagandla , Shiva Ram Thalari
Published: April 2019

This paper presents optimization of plasma heat assisted turning process for machining hardened EN24 die steel (53HRC) by using gray relational analysis. Flank wear and surface roughness (Ra) are experimentally measured as the process performance characteristics under varying conditions of preheating temperature, cutting speed and cutting length. The plasma heating approach was implemented to preheat the workpiece. The machining experiments were conducted according to the L16 design of experiments. Since the chosen machining performance indicators are found with confliction for the chosen process variables, the problem is treated as multi-response optimization problem to minimize the tool wear and surface roughness simultaneously. Therefore, the problem was solved by implementing the gray relational analysis and the derived optimal machining conditions were analysed and reported.
Privacy Proliferation of Customized Web Search Engine
Authors: Arunachalam N , Radjou S , Aravindan P , Sivagurunathan T
Published: April 2019

In last few years the illegal disclosure of user privacy in web search engine has become more serious. Protecting and Pre-venting user privacy from illegal disclosure is attracting the interest among researchers in recent times. Existing web search engines do not consider the privacy of the users. Search engines tend to collect all the information from the user. A system to ensure the privacy of the user is essential. Hence, the Personalized Web Search (PWS) method was put forward to take control over the amount of information that the user can provide to the search engines. This PWS provides privacy protec-tion in web search system and minimize the information disclosure of the user related to privacy through a customizable web-search.
A Novel Approach on Suggesting Travel Route by Efficient Watchword
Authors: Naresh Mandhala Venkata , Ganesh N , Sai Shirini K , Alekhya Sri Ch
Published: April 2019

With the fame of web-based social networking (e.g., Facebook ), clients can undoubtedly share their registration records and photographs amid their treks. In perspective of the gigantic number of client verifiable portability records in web-based social networking, we plan to find venture out encounters to encourage trip arranging. When arranging a trek, clients dependably have speciﬁc inclinations with respect to their outings. Rather than confining clients to restricted question alternatives, for example, areas, exercises, or eras, we consider discretionary portrayals as watchwords about customized necessities. In addition, an assorted and agent set of suggested travel courses is required. Earlier works have expounded on mining and positioning existing courses from registration information. To address the issue for programmed trip association, we guarantee that more highlights of Spots of Intrigue (POIs) ought to be extricated. Along these lines, in this paper, we propose an efﬁcient Catchphrase mindful Agent Travel Course structure that utilizations learning extraction from clients' verifiable portability records and social associations. Expressly, we have planned a watchword extraction module to group the POI-related labels, for successful coordinating with question catchphrases. We have additionally planned a course recreation calculation to develop course hopefuls that fulﬁll the necessities. To give beﬁtting question comes about, we investigate Agent Horizon ideas, that is, the Horizon courses which best depict the exchange offs among various POI highlights. To assess the viability and efﬁciency of the proposed calculations, we have led broad investigates genuine area based informal community datasets, and the examination comes about demonstrate that our strategies do in fact illustrate great execution contrasted with best in class works.
Data Analytics for Cardiotocography Data Using Principal Component Analysis
Authors: K Pratuisha , Rao .D Rajeswara , V.R.Murthy J
Published: April 2019

With growing congenital anamelies in recent years detection of heart problems in fetus has become critical. Cardiotocography test assists doctors in such dignosis followed by cure. Here analytics of cardiotocography data is presented in details.Understanding ,cleaning and preprocessing the data is one of the the foremost part for any researcher,In this work data is cleaned,preprocessed,normalized, Also the attributes are selected by using the Chi-square test. Colinearity problem is addressed using Principle component analysis.Such analytics and prepro-cessing will help in machine learning or allied models for predict-ing precise diagnosis at an early stage
Characterization of AL2O3 Nano Particles in Engine Oil for Enhancing the Heat transfer rate
Authors: Sridhar Yesaswi Ch , Ajay Krishna K , Pavan Gopal Varma A , Girish K , Jagadeesh Varma K
Published: April 2019

Selection of suitable engine oils becoming more challenging for automobile engineers. Life of the engine majorly depends upon engine oil, type of fuel being used and various other thermal and structural characteristics of the engine. Dissipation of heat is one of the major consideration in the design of automobile engines. Generally engine oils are used for the lubrication between piston and cylinder but to enhance the cooling effectiveness Nano-particles are added in the lubricant, so that internal heat generation in the engines can be minimized. Nano-fluids are playing a vital role in heat transfer applications because of its enhanced thermal conductivity nature and generally these fluids are colloidal mixture of Nano particles and base fluids. Intense research studies over Nano fluids are very high because of their sublime behavior.Recently. Advanced research over Nano technology has gone to a situation where two or more Nano particles are made to mix in a base fluids and generally we call this as hybrid Nano fluids. In this work, preparation of Al2O3 nanoparticles and mixing them with 10W30 engine oil were carried out. By various techniques thermal characteristics of fluid are identified with different parameters.
Efficient PIMRR Algorithm Based on Scheduling Measures for Improving Real Time Systems
Authors: Nageswara Rao Siva , Jayaraman Ramkumar , S.V.N Srinivasu Dr
Published: April 2019

Scheduling play an important role to perform a single (or) multiple process activities by considering scheduling criteria’s such as, waiting time, turnaround time, CPU utilization and context switches. The scheduling criteria’s mainly depends on the quantum time which is specific to real time systems. The challenges faced by the real time systems based on scheduling activities viz., higher waiting time, more context switches and high turnaround time. All the scheduling criteria’s are integrated to achieve Quality of Service (QoS) like throughput and delay. To improve the scheduling criteria’s like waiting time, context switches and turnaround time, PIMRR algorithm is proposed. The PIMRR algorithm is first integrated with modulo operation to provide priority to all the process. The average of all the processes burst time is equal to the quantum time. Performance analysis is done for PMIRR with the existing simple round robin, PRR, Priority based RR scheduling based on the scheduling criteria’s. Our results demonstrates that the PIMRR is more efficient compared to the existing ones, in terms of waiting time and turnaround time versus quantum time.
Survey on Reversible Texture Synthesis Techniques
Authors: Ramya.K Ruth , M Karthik. , Priyanka.M Yamini , BH Vinutna
Published: April 2019

Encryption is the technique by which we can encode the expected snippet of In Advanced Image Steganography the message is covered up in a picture such that the spectators can't figure that it is not an ordinary picture. These days security is an essential issue while transmitting a message. To start with we have scrambled the message to a picture which needs a secret key to be unscrambled. At that point we have shrouded that picture inside another picture by steganography approach. By this two level concealing we can guarantee more grounded security. We propose a novel approach for steganography using a reversible surface union. A surface union process resample's a more diminutive surface picture, which joins another surface picture with an equivalent close-by appearance and a subjective size. We work the surface union process into steganography to cover puzzle messages. Instead of using a present cover picture to cover messages, our figuring covers the source surface picture and embeds riddle messages through the method of surface mix. This empowers us to isolate the puzzle messages and source surface from a stego designed surface. Our approach offers three specific positive conditions. To begin with, our arrangement offers the embedding’s furthest reaches that is in respect to the measure of the stego surface picture. Second, a steganalytic figuring isn't presumably going to vanquish our steganographic approach. Third, the reversible limit gained from our arrangement gives convenience, which grants recovery of the source surface. Trial comes to fruition have affirmed that our proposed estimation can give distinctive amounts of embedding’s limits, make an apparently possible surface pictures, and recover the source surface.
A Survey Paper on Modern Online Cloud-Based Programming Platforms
Authors: Sreeram N , Uday Kumar V , Sridhara Rao L
Published: April 2019

Coding has more significance in any domain and there is availability of a variety of online cloud-based programming platforms. Programming involves several phases such as requirements identification, design solution, coding and testing. The main aim of any program is, it must meet the user requirements. Once programming is completed, the program must test against the user requirements. Hence there is need to understand and develop various test cases against user requirements specification to test the program. This paper gives an overview on how to identify, understand and resolve enforced test cases in programming over modern cloud-based compilers such as hackerrank, hacker earth, codechef etc.
Conversion of Body Conducted Unvoiced Speech(Murmur) to Normal Speech Using Hidden Markov Model (HMM)
Authors: RajeshKumar T , Srinagamani M , Sai ram chandu M , Mounika S
Published: April 2019

The main purpose of this paper is Conversion of  non- audible murmured voice into the normal speech using Hidden Markov Model(HMM).This non audible murmur voice NAM is a one type of murmured voice which can be delivered by a NAM microphone which is attached behind the speaker’s ear. The Hidden Markov Models(HMMs) are stochastic models of statistical learning .These are very useful in speech recognition .The point of the paper is to collect as much as data from the device and convert it into audible and clear data signal that can be used for further sensory based applications. Hence, having an insight of how to convert the NAM to speech and then to whisper has a lot of benefits while keeping in mind the disadvantages of such conversion. Since, NAM is minute details of a communication between one’s own self it is highly recommended to the data in as much as discrete format as necessary since a speech signal can have various frequencies over a portion of the signal, big data approach is recommended.
A New Encryption Algorithm Using Symmetric Key Cryptography
Authors: Tumati Gowtham , Rajesh Yalamarthi , T Manogna , Ram Kumar J
Published: April 2019

Cryptographic techniques are primarily divided into two categories and they are: Symmetric key type and Asymmetric key type. In Symmetric key cryptography, during the process of encryption and decryption, the same key will be used. This is a conventional method of Cryptography. This might cause some disadvantage and give way for attacks on the algorithm. So, for this reason, the next technique comes into play. In Asymmetric key cryptography, there is a usage of a pair of keys, one for the encryption process and another for decryption process. In this technique also, there is a slight disadvantage, since there is a possibility for attackers to guess the public key from the pair of keys, thereby posing a threat to the process to an extent. In this paper, we develop an algorithm with a simple yet efficient structure using Symmetric key cryptography that could possibly decrease the chance of attacks on the algorithm.
Agri-Iot: a Sustainable Environment for Improvement of Crops Revenue in the Field of Agriculture Using Iot
Authors: S.Hrushikesava Raju Dr , M.Nagabhushana Rao Dr , N.Sudheer Dr , P.Kavitharani Dr
Published: April 2019

Agriculture is a field where farmers experience less income because of natural disorders like less rain fall, floods, lack of weather forecasting at the farmers end, unaware of technology to use for their crop benefit, lack of automatic functioning of equipment, lack of interconnection among the components involved in the process and most of other bad experiences. To lift the farmers life not only in the state’s economy and also in any nation’s economy, a technology to be needed that will help the crops to get yielding’s in time without any delays, and also make merchants to contact the farmers directly by offering the high prices for the quality crop yielding’s. The proposed technique called Internet of Things (IoT) is a new technology which is adapted for the agriculture field for increasing the farmers crop revenue. This developed IoT design in which components required such as sensors, motors, transmitters, and other required devices to function in the integrated collaboration of internet. The expected results are noted in the Results chapter and are found necessary for future generations of farmers. This design and functioning of the IoT for the agriculture is proven the best approach to follow in this modern world.
Sentiment Analysis for Social Networks Using Machine Learning Techniques
Authors: Sudarsa Dorababu , Kumar.P Siva , Jagajeevan Rao L
Published: April 2019

The tremendous of the overall enormous net has conveyed a present day way of communicating the feelings of individuals. It's additionally a medium with a vast amount of data in which clients can see the assessment of different clients which can be ordered into exceptional entailment summons and are progressively more boom as a key component in decision making. This paper adds to the supposition assessment for customers assessment class that is utilized to analyze the records inside the type of the assortment of tweets wherein investigates are very unstructured and are both high fine or terrible, or somewhere in the middle of these . For this we first pre-prepared the dataset, after that extract the adjective from the dataset that has a couple of significance this is alluded to as capacity vector, at that point decided on the component vector posting and from that point accomplished device examining based write calculations particularly navie bayes, most entropy and svm along the edge of the semantic introduction based absolutely based on word net which extracts synonyms and similarity for the content characteristic. In the end, we measured the performance of the classifier in terms of considering, precision and accuracy.
A Framework for Data Integrity Through Lineage Tracking in Cloud
Authors: Vadlamudi Divya , K. Thirupathi Rao Dr , Bodempudi Sravani , Kadulla Lavanya
Published: April 2019

Cloud Computing [1] is a service oriented paradigm that pursuits at sharing resources to a large number of tenants. It's far approximately using internet to save, control and process facts in preference using personalized computer. Even though Cloud computing has the prerequisite to store the data; some users find some issues regarding safe data Storage in cloud. In that case metadata is the data that helps to determine the history of the particular data object we opted starting from its original resources. Here not only integrity of the data is proved but the specific lineage of data is also proved. Lineage is useful to know the origin of the data and its transformations in the cloud. In this paper we develop a framework to ensure Access control and data integrity using lineage of data stored in the cloud[2], and some general semantic definitions for integrity properties of lineage tracking. The main contribution of this paper is to explore framework through metadata for integrity and access control.
State of the art - optimization techniques in cloud environment
Authors: Priya B , Gnanasekaran T
Published: April 2019

A Cloud is a network of a shared pool of configurable and computing resources providing efficient, on-demand pay-as-per-use access. Its main objectives being: Scalability, High availability of resources and to reduce the overhead incurred. Scheduling is the method of determining the order by which the jobs have to be executed. It determines the various tasks that are to be executed in parallel and the efficient resource to carry out the tasks. Load balancing is the method of balancing the load across various resources by fixing a threshold and migrating the tasks to the under loaded resources based on the threshold. Optimization techniques are used to find a finite solution for scheduling of tasks although not optimal. Various optimization techniques are employed based on Cost, CPU utilization and to balance the load. This paper deals with the importance of optimization, the various metrics and constraints associated. A literature survey on the various optimization techniques is also analyzed based on the attributes of the tasks.
A virtual keyboard security system for automated teller machine
Authors: Brindha Devi V , Sindhuja S , Shanthini S , Hemalatha M
Published: April 2019

The Automated Teller Machines (ATM) are used for cash withdrawals. Meanwhile as ATM lacks security, thefts occurring in the ATMs are also high. Our proposed system minimizes those break-ins occurring in the ATM’s by instigating a low cost standalone embedded sys-tem using Arduino Microcontroller. This system is proposed for ATM security, comprising of the components namely RGB tag, Global System for Mobile communication (GSM), Global Positioning System (GPS), Virtual Keyboard and camera. Authentication by virtual keyboard thus helps the public to protect their credentials from being captured by malicious bots, key loggers and spyware. Whenever theft occurs, Buzzer makes an alarm, DC Motor turns ON and the door of ATM is closed. The nearby police station and corresponding bank authorities is alerted by the GSM Modem that sends messages along with the location. This will prevent the robberies and the person in-volving in the robbery can be easily caught. In short, it discusses the methods that are used to detect the venture, initiate preemptive measures and forewarn the officials through GSM network. This system thus heightens the safety of ATM users as well as the ATM’s against forthcoming attacks effectively.