bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication and Mechanical Characterization of Glass and Carbon Fibre Reinforced Composite’s Used for Marine Applications
Authors: Sarath Chandra D. , K.Vijaya Kumar Reddy Dr. , Omprakash Hebbal Dr. 
Published: November 2018

The composite materials are replacing the traditional materials, because of its superior properties such as high tensile strength, low thermal expansion, high strength to weight ratio. The developments of new materials are on the anvil and are growing day by day. Fiber composites such as Glass-Fiber Reinforced Polymers (GFRP) composites and Carbon-Fiber Reinforced Composites (CFRP) became more attractive due to their better properties for marine applications. In this paper, GFRP, CFRP and Hybrid composites are developed and their mechanical properties such as Hardness, tensile strength, compression strength, impact strength, toughness are evaluated. The study used to compare the effect volumetric fraction of fibers in order to improve strength and toughness, this done by using two types of fibers E-glass and carbon & two types of resins epoxy ( AralditeLY556 and Aradur HY951 ) and vinyl ester. In this experimental study, we found that high tensile strength, high specific strength, hardness and low density are obtained with carbon fibre reinforced composites, but high impact strength and toughness are obtained with glass fibre reinforced composites. Finally incorporate the result and try to find alternatives composites using for marine applications and obtain the best mechanical properties
Evaluating the Performance of Supervised Classification Models: Decision Tree and Naïve Bayes Using KNIME
Authors: Muzamil Basha Syed , Singh Rajput Dharmendra , Kumar Poluru Ravi , Bharath Bhushan S. , Abdul Khalandar Basha Shaik 
Published: November 2018

The classification task is to predict the value of the target variable from the values of the input variables. If a target is provided as part of the dataset, then classification is a supervised task. It is important to analysis the performance of supervised classification models before using them in classification task. In our research we would like to propose a novel way to evaluated the performance of supervised classification models like Decision Tree and Naïve Bayes using KNIME Analytics platform. Experiments are conducted on Multi variant dataset consisting 58000 instances, 9 columns associated specially for classification, collected from UCI Machine learning repositories (http://archive.ics.uci.edu/ml/datasets/statlog+(shuttle)) and compared the performance of both the models in terms of Classification Accuracy (CA) and Error Rate. Finally, validated both the models using Metric precision, recall and F-measure. In our finding, we found that Decision tree acquires CA (99.465%) where as Naïve Bayes attain CA (90.358%). The F-measure of Decision tree is 0.984, whereas Naïve Bayes acquire 0.7045.
Selective Oxidation of Cyclohexane to KA Oil Over Ce-Alpo-18 Molecular Sieves
Authors: Esther Leena Preethi M. , Umasankari A. , H.Rekha C. , Palanichamy M. , Sivakumar T. , Pandurangan A. 
Published: November 2018

The novel catalysts Ce-AlPO-18 with Al/Ce = 25, 50, 75 &100 were synthesized using hydrothermal synthesis procedure. The newly synthesized catalysts were characterized using physico-chemical techniques such as, X-ray diffraction (XRD) which confirmed AEI structure, diffuse reflectance spectroscopy (DRS-UV) confirmed the presence of both Ce3+ and Ce4+ in the framework and Fourier transform infrared spectroscopy (FT-IR) confirmed the complete removal of template molecule. The synthesized catalysts were tested for the oxidation of cyclohexane using air as the oxidant in a solvent free system and the results were discussed.
An Approach To Twitter Sentiment Analysis Over Hadoop
Authors: Ritika Siril Paul Yazala , A. Borikar Dilipkumar 
Published: November 2018

Sentiment analysis is the process of identifying people’s attitude and emotional state from the language they use via any social websites or other sources. The main aim is to identify a set of potential features in the review and extract the opinion expressions of those features by making full use of their associations. The Twitter has now become a routine for the people around the world to post thousands of reactions and opinions on every topic, every second of every single day. It’s like one big psychological database that’s constantly being updated and which can be used to analyze the sentiments of the people. Hadoop is one of the best options available for twitter data sentiment analysis and which also works for the distributed big data, streaming data, text data etc. This paper provides an efficient mechanism to perform sentiment analysis/ opinion mining on Twitter data over Hortonworks Data platform, which provides Hadoop on Windows, with the assistance of Apache Flume, Apache HDFS and Apache Hive.
Modelling and Analysis of Novel Topology for Multilevel Inverter With Reduce Number of Switches
Authors: Kumar Rohit , S.L Shimi , Kaura Shivendra 
Published: November 2018

The demand of quality power is increasing continuously. The problem of global warming and rate of decrease of non-renewable energy sources are increasing day by day. Hence renewable energy sources such as fuel cell, solar, Magneto hydro Dynamic (MHD), geothermal are the best alternatives to solve the problem of environmental issue and increasing demand of energy. The output of these resources is dc, therefore to connect these resources to the grid, multilevel inverter is the key device. But the output of multilevel inverter has power quality issues such as harmonic generation and notching due to conversion of dc to ac and high number of switch. Hence, this paper deals with harmonic elimination using Genetic Algorithm based Selective Harmonic Elimination (GA-SHE) techniques for asymmetric and symmetric topology of MLI. In the present study, comparative study among the 5-level, 7-level, 9-level, 11-level and 15-level multilevel inverters with reduced number of switches topologies has been discussed. A novel topology of 15-level inverter which consists least number of switches has been designed for a desired voltage level. Also, the comparison of Total harmonic distortion developed in the output voltage generated by different topology at different levels with the proposed 15-level inverter topology are discussed.
Implementation of Recommender System for Web pages
Authors: G Anuradha 
Published: November 2018

In Web based applications, Recommender systems have become fundamental information access system. They effectively prune large information spaces which provide appropriate decision making and suggestions, so that the users are directed towards those web pages that best meet their needs, preferences and interests. In web-based context, this can be achieved by basic rough set model and collaborative filtering techniques in decision making of the web pages. The recommender system can be implemented based on two types of techniques which are content based filtering and collaborative filtering. Content based filtering constructs a recommendation on basis of user’s behavior (historical browsing information) and collaborative filtering uses group knowledge to form a recommendation based on like users. Sparsity, the cold-start problem, fraud are main challenges in recommender system.This paper proposes recommendations to the user that varies from one user to another user which is based on the user's profile. (For example, for a search with same keyword a student will be suggested differently compared to a scholar or a teacher).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.
Production of Brown’s Gas using Hydroxy Generator
Authors: Venkata Ramesh Mamilla Dr. , Sri Rama Murthy K. , M.Vamsi Krishna M. , S.S.S ManikanthaSwamy T. , S.S.S ManikanthaSwamy4, A.Ramesh A. , Uday Krishna M. 
Published: November 2018

This paper deals with the designing of hydroxyl (HHO) generator and thus use the Brown’s Gas liberated from it as a supplement to increase fuel efficiency in IC engines. The combustion process in IC engines is very primitive and hence unburnt fuel remains after the combustion process. This is a very challenging problem being faced by today’s automobile industry as this unburnt mixture is a serious air pollutant. The proposed approach is based on an ordinary HHO generator. Although people use HHO generators in practice a very little research has been carried out in implementing an efficient system. This project is mainly focused on finding an efficient configuration of an ordinary HHO generator that is efficient than an ordinary system. Here the generator was tested under several conditions in order to determine a convenient design for an efficient HHO generator.
Experimental Studies on Behavior of Keratin Based Human Hair Fiber - A New Reinforcing Material for Composites
Authors: Prasad K. Eshwara , Rao P. Divakara , Kiran C. Udaya 
Published: November 2018

Composite materials are formed by two or more constituents at macroscopic level. Type and form of fiber plays a vital role in imparting required properties to the composite. Many researchers contributed to the development of artificial fiber composites which are not environmental friendly in nature. Sizable research is also done in the area of natural fiber composites. Human hair is a non-biodegradable waste available in abundant quantity across the world, but is rarely explored for applications in engineering fields. In the present study, a review on behavior of human hair fibers was made to understand their suitability as a reinforcing material in composites. Morphology of the hair fibers is reviewed and the density of the hair fibers was determined using Archimedes principle. Tensile strength of the hair fibers is experimentally estimated. Chemical resistivity and burning tests were conducted. Tensile and flexural properties of hair fiber reinforced polyester composite were experimentally determined and compared.
Data labeling method based on Cluster similarity using Rough Entropy for Categorical Data Clustering
Authors: Suresh Kumar B. , H.Venkateswara Reddy Dr. , S.Viswanadha Raju Dr. , Vijay Kanth G 
Published: November 2018

In present research, Data mining is become one of the growing area which deals with data. Clustering is recognized as an efficient methodology in data grouping; to improve the efficiency of the clustering many researchers have used data labeling method. Labeling method works on similar data points, into the proper clusters. In categorical domain applying data labeling is not so easy when compare with numerical domain. In numeral domain it is easy to find difference between to data points, but in categorical it is not easy. Since data labeling on categorical is a challenging issue till date and it is quite complex to implement. The proposed methodology is deals on this problem. According proposed method a sample data will be taken. That sampled data further divides sliding windows, and then a normal clustering algorithm will be applied on one sliding window and divides into clusters. Rough membership Entropy function is used to find the similarity between unlabelled data points to labeled data points. The proposed methodology has two important features those are 1) The Data points will moved into their proper clusters, means the quality clusters will take places, 2) Proposed methodology will execute with high efficiency rate. In this paper the proposed methodology is applied on KDD Cup99 data sets, and the results shows appreciably more proficient than earlier works.
An Anthropological Approach to Discourse of Natural Heritage and Rural Tourism
Authors: Alizadeh Fereshteh , Ahmadi Fatemeh 
Published: November 2018

As a cultural subject, rural tourism is a novel concept which is the result of a dialogue between modernism and today's newfangled world; but the study of nature's social life and the relationship between human and nature is very old and its origins are far older than the knowledge of ethnography in a way that during centuries, different fields such as anthropogeography, cultural ecology and ethno-biology has been originated from this relationship. If we accept that one of the main incentives of rural tourists is the pleasure of seeing landscapes and natural heritage, studying the theoretical dimensions of the natural heritage can help the tourism policy makers to plan. As mentioned before, rural tourism is still young and its theoretical dimensions has not been studied very much.Â Â
Mediating Role of E- Learning Resources in Developing Entrepreneurial Inclinations Amongst Undergraduate Students At Universiti Utara Malaysia
Authors: Mohd Sufli Yusof Dr. , Muhammad Salman  Shabbir Dr. , Muhammad Shukri Bin Bakar Dr. , Dr. Mohd Noor Mohd Shariff Prof. , Ramli Azahari , Ahmad Israr 
Published: November 2018

In this study the authors tried to identify mediating role of innovation and moderating role of size of enterprise in the relationship Making a living with lawful earnings is possible by working for others, becoming self-employed or employing others. This paper aims at providing insights into the role of structural support and the use of E-learning such as business simulations games in developing entrepreneurial intentions of university students. The underlying theories of experiential learning, constructivist learning theory and bloomâ€™s taxonomy are discussed in relation with the objectives of this study. The response of 252 university students from Malaysia was collected through self-administrative survey using simple random sampling technique. The results of PLS-SEM demonstrate a significant positive impact of E-learning resources and perceived structural support from Government in developing entrepreneurial inclinations of students at Universiti Utara Malaysia (UUM). The present study provides an overview and highlight the role assumed by the institutions of higher education through adoption of E-learning resources in order to nurture entrepreneurship among young generation. Additionally, keeping in view the role of higher education in socio-economic development, recommendations have also been proposed for universities and policy makings institutions to cope with the current challenges of higher education.Â The findings of this study have important implications of enhancing entrepreneurial capacity in Malaysia.
Onto Semantic Tourism Information Retrieval
Authors: S. Laddha Shilpa , Pradip M. Jawandhiya Dr. 
Published: November 2018

Semantic Search is an area of research which focuses on meaning of terms used in user query. Ontology plays significant role to define the concept and the relationship of terms in domain. Since the understanding of concepts is domain specific, Ontology creation is also domain specific. According to this argument, query interpreted in Tourism domain can have different meaning in some other domain. This paper presents a prototype of information retrieval interface using ontology which can save users time by rendering relevant, precise and efficient search results as compared to traditional search interfaces.Â Â
A Novel Sentimental Analysis using Optimized Relevance Vector Machine Classifier
Authors: Saranya N. , Gunavathi R. , . . 
Published: November 2018

Sentimental analysis is the process of identifying the humanâ€™s thoughts or feelings. So Many methods have been developed for the sentimental analysis. Machine learning is one of the widely used approaches towards sentiment classification. In this work, Sentimental analysis is done by using Relevance Vector Machine Classifier with Cuckoo Search Optimization. Here Relevance Vector Machine Classifier (RVMC) is combined with Cuckoo Search Optimization (CSO) for better accuracy and performance. Experiment is made with movie and twitter datasets. Accuracy, precision and recall of all other techniques are evaluated. Here the comparison is made among other algorithms. The result shows that RVMC-CSO algorithm gives accuracy and good performance than other algorithm like SVM, ELM and RVM.Â Â
Development of the Information Storage Micromodule for Spacecrafts with LATCH-UP Effect Protection
Authors: S. Litvinenko R. , V. Prokofiev I. 
Published: November 2018

Exposure to outer space ionizing radiation places high demands on the circuits for fault tolerance. The issue of information safety on storage devices is especially acute in conditions of high radiation. Within the framework of the project on development of constructive and technological methods of creation of miniature data storage drives for onboard equipment for space purposes, the study of the radiation effects influence on the operation of memory chips and methods of counteracting these effects is carried out.Â Â
E-integrator of LBP-Provider of Logistics Barter
Authors: V. Gabdullin Lenar , A. Bikulov Rinat , M. Khamitov Ilnaz , S. Stepanova Yuliya 
Published: November 2018

Logistic barter is a normal commodity exchange among producers where one thing is exchanged to another without monetary pay on the basis of globally integrated trade procedure. The approach of barter logistics is not abandon money, however ignores it among producers.Â Logistics has touched and touches such heights, while the requirement for a "universal equivalent of goods" among producers could simply cease to exist [1]. A powerful combination of logistics and e-commerce is expected to lead to significant changes in the overall business landscape. E-commerce will provide an opportunity for many companies to make the necessary communications and conclude transactions with each other, and logistics will provide an opportunity to more effectively use this information to manage activities in their business. Instead of a two-way relationship between the supplier and the customer, the business will increasingly be based on networks of supply chains, made up of groups of suppliers and customer groups [2]. E-commerce, e-sourcing, e-markets are better to be united under the auspices of logistics barter into an e-integrator, which will be the serving element of the LBP-provider. An e-integrator is an integrator of information and communication technologies for supply chains of logistics barter, in the form of electronic means, taking into account a closing link, e-commerce, and the reverse distribution of added value. The paper describes the new LBP-providers which are not a servicing element of the economy, but become operators of an alternative economy themselves. We have also considered the basics for the mathematical concept of a future LBP (logistic barter) operator.Â Â
Dependence of Reallocated Sectors Count on HDD Power-on Time
Authors: N. Nasyrov Iskandar , I. Nasyrov Ildar , I. Nasyrov Rustam , A. Khairullin Bulat 
Published: November 2018

The problem of SMART-data ambiguity in different models of hard disk drives of the same manufacturers is considered. This circumstance creates obstacles for the use of SMART technology when assessing and predicting the reliability of storage devices. The scientific task of the work is to study the dependence of the hard disk failure probability on the reliability parameters values for each individual storage device of any model of any manufacturer. In the course of the study, two interrelated parameters were analyzed: â€œ5 Reallocated sectors countâ€ and â€œ9 Power-on hoursâ€ (the number of hours spent in the on state). As a result of the analysis, two types of dependences were revealed: drooping and dome shaped. The first means the maximum failure frequency of information storage devices immediately after commissioning, the second - after a certain period of time, actually coinciding with the warranty period for the products (two years). With the help of clustering in plane according to the coordinates of the number of reallocated sectors and the time of operation, two different reasons for the failure of the drives were discovered: due to deterioration of the disk surface and due to errors in the positioning of the read / write heads. Based on the variety of types of causes and consequences of equipment failure, the task of individual assessment of an individual data storage device reliability is proposed to be solved using several parameters simultaneously.Â Â
Material Performance of Nickel Ions Adsorption by Larix Sibirica Needles
Authors: R. Denisova Tatiana , A. Kharlyamo Damir , Z. Galimova Rumia , G. Shaikhiev Ildar , V. Sadykova Svetlana 
Published: November 2018

Adsorption of ions of nickel on alternative sorption material - needles of Siberian larch (Larix sibirica) is investigated at temperatures of 20, 30 and 40 0C. The maximum sorption capacities of needles of Larix sibirica in relation to ions of nickel (II) at temperatures of 20 are determined Â°C, 30Â° C, 40Â° C which made 0,80 mmol/g (47,2 mg/g), 0,87 mmol/g (51,3 mg/g) and 0,92 mmol/g (54,3 mg/g) respectively. Isotherms of adsorption are received and shortchanged with use of models of Langmuir, Friendlich, Temkin and Dubinin-Radushkevich. It is defined that process of adsorption of ions of Ni2+ at a temperature of 20the Â° C is best of all described by Friendlich's model (R2 = 0,983), and at temperatures of 30Â° C and 40Â° C - the Langmuir model (R2 = 0,995 and 0,996 respectively). By the carried-out calculations it is defined that process of adsorption of ions of Ni2+ needles of Larix sibirica treat processes of physical adsorption as values of energy of adsorption have size less than 8 kJ/mol, and values of energy of Gibbs demonstrate spontaneous course of physical adsorption. Processing of kinetic dependences of processes of adsorption of ions of nickel (II) Larix sibirica needles at three temperatures within diffusive model defined the limiting stages of processes - the mixed diffusion.Â Â
Finite Element Method Analysis of Normal and Corrosion Buckling with ANSYS17 Program for Stainless Steel 304 Alloy
Authors: Jasim AL Akawai Hussain , Mershid Aweed Khalid , Ali Jaber Shawthab 
Published: November 2018

In the present research the effect of corrosion on buckling behavior of 304 stainless steel with increasing of compressive dynamic loads was studied. There are two types of the columns, long columns and intermediate columns were used. For compression test, there are 24 columns specimens were used in the dynamic axis, 12 columns tests were carried out with increasing in the dynamic axis of compressive load, while for the corrosion test was performed by using 12 specimens were buried for two months under the ground before tested them. The allowable deflection in lateral axis is 1% in the length of column. When the deflection in lateral axis reaches 1% and does not increase more than it, and when removing the applied load, the column will return back to the normal state. This is defined critical buckling of columns. To calculate the original deflection. The digital gauge was employed at the distance about 0.7 for the column length at the fixed end of column. has alarm system was used to define critical buckling and to avoid the failure of the specimen and installed at the distance equal to 0.7 of the column length from fixed end. The empirical results showed that the effect of negatively corrosion on mechanical properties of alloys with 2.53% reduction of ultimate tensile strength comparing with non corroded specimens, in the other hand the corrosion will reduce the critical buckling load by 6% for two months. The experimental results comparing with the theoretical results obtained by Perry Robertson and Euler. Johnson with the results analyzed by ANASYS17. The results of this work are agreed with Perry-Robertson and Euler- Johnson by a safety factor about (1, 3) and 3 respectively while the results of ANASYS showed that agreement with the calculated and measured values by safety factor about (2).Â Â