bluuebunny/crossref_metadata_2025 huggingface dataset:
Real Time Symptomatic Analysis for Efficient Disease Prediction and Recommendation Generation Using Multi Level Symptom Similarity Measure
Authors: Kumar.P.J Sathish , R.Jagadeesh Kan Dr
Published: November 2018

The problem of high dimensional clustering and classification has been well studied in previous articles. Also, the recommendation generation towards the treatment based on input symptoms has been considered in this research part. Number of approaches has been discussed earlier in literature towards disease prediction and recommendation generation. Still, the efficient of such recommendation systems are not up to noticeable rate. To improve the performance, an efficient multi level symptom similarity based disease prediction and recommendation generation has been presented. The method reads the input data set, performs preprocessing to remove the noisy records. In the second stage, the method performs Class Level Feature Similarity Clustering. The classification of input symptom set has been performed using MLSS (Multi Level Symptom Similarity) measure estimated between different class of samples. According to the selected class, the method selects higher frequent medicine set as recommendation using drug success rate and frequency measures. The proposed method improves the performance of clustering, disease prediction with higher efficient medicine recommendation.
Three Degree of Freedom Spatial Parallel Manipulator Inverse Kinematic Position Analysis
Authors: Rao Pundru Srinivasa , Rao Nalluri Mohan
Published: November 2018

This paper presents inverse kinematic position analysis of three degree of freedom spatial parallel manipulator, which has three similar kinematic closed loops. Each loop consist of an actuated sliding linkage- rotational joint and spherical joint. The actuated sliding linkage is coupled to inclined limb of fixed base platform and rotational joints are integrated to the linear sliding actuators. The limbs are connected from rotational joints to moving platform by spherical joints. The degree of freedom of a manipulator is obtained by spatial kutzbach criterion. The inverse kinematic position analysis problem solved by using closed loop technique is applied to 3-coupled trigonometric equations which are obtained with side and behaviour constraints of a parallel manipulator. By using MATLAB the three non-linear coupled algebraic equations are solved. The inverse kinematic position analysis procedure is used in the development process of spatial parallel manipulator. The part of kinematic analysis is used to check the required positions-orientations and after kinematic process the obtained positions-orientations of the moving platform of the developed spatial parallel manipulator.Â Â
Spatial Three Degree of Freedom Parallel Manipulator Forward Kinematic Position Analysis
Authors: Rao Pundru Srinivasa , Rao Nallur Mohan
Published: November 2018

This work presents forward kinematic position analysis of a spatial three degree of freedom parallel manipulator, which has three symmetric loops. The three loops consist of an actuated sliding links- rotational and spherical joints. The actuated sliding links are attached to inclined base platform via rotational joints. The limbs are connected from rotational joints to moving platform by spherical joints. The degree of freedom of a spatial parallel manipulator is analyzed via kutzbach criterion. The forward kinematic position analysis carried out by using 3-coupled trigonometric equations which are formulated with side and behaviour constraints of the manipulator. There are many difficulties in solving the system of non-linear equations in kinematics of manipulator therefore by using MATLAB the three non-linear coupled algebraic equations are solved. The forward position kinematic analysis part is used in the development procedure of spatial parallel manipulator to check, the required and obtained positions of the moving platform of the developed manipulator.Â Â
Performance Analysis of 5G Waveform â€“ Bi-Orthogonal Frequency Division Multiplexing under Real Fading Condition Simulations
Authors: Sekhar Yarrabothu Ravi , Satrasupali Sivaji , Gutha Lakshmi
Published: November 2018

4G LTE communication system uses OFDM and for resource allocation control channels like PRACH is used. Around 6% bandwidth is getting used for this PRACH procedure and due to OFDM requirement of strict synchronization, short messaging become tedious and cause power wastage due to the control traffic for every message. The main challenge for 5G communications is to handle the transmission of extremely asynchronous data and control traffic in one go. Existing OFDM based systems have the drawback of very sensitive to the time and frequency offsets and in turn results in synchronization errors. To overcome this challenge, it has been adopted a new waveform based on Bi-orthogonal Frequency Division multiplexing (BFDM) which supports the Internet of Things (IoT) sporadic traffic. In this paper, BFDM principles, behaviour of BFDM under various channel conditions, Matlab simulation results pertaining to the performance of BFDM against the existing OFDM are discussed. The simulation results shows that the Symbol Error Rate of the BFDM system is less than the OFDM under time varying fading conditions such as Extended Pedestrian A (EPA), Extended Vehicular A (EVA), Extended Typical Urban(ETU) models.Â Â
A Comparative Study on Shear Wall Concept in Accordance to its Seismic Behavior
Authors: U Deepna , S Menon Arjun , Balamurugan S
Published: November 2018

The consequences of lateral loads like earthquake loads, wind loads and blast forces are achieving utmost concern nowadays. Imparting sufficient strength and stability in counter to the lateral loads is one of the major challenges faced by every designer. Therefore Proper understanding of the Seismic performance of different types of shear walls is necessary for structural engineers so as to safeguard the structure against lateral loads. The present paper describes the comparison of the seismic performance of high rise buildings and optimizing the thickness of RCC shear wall, Steel Plate Shear Wall (SPSW) and composite shear wall for (G+20) stories. The design and analysis of theÂ  building with RCC shear wall, steel plate shear wall and composite shear wall is carried out using software ETABS. Effect of varying thickness of shear panels and comparison of the results of story drift and story shear is presented.Â Â
Civil Engineering Tool Kit for Making Perfect Ellipses of Desired Dimensions on Very Large Surfaces
Authors: Chand Gupta Karam , . .
Published: November 2018

If an ellipse is to be drawn of given dimensions there is no formula, method or set of calculations and procedure available with the help of which we can draw ellipse of given length and width on large ground. Whenever a field engineer is to start the work of an ellipse-shaped structure like elliptical conference hall, screening chamber and pump chamber in disposal work etc. he finds difficulty to give demarcation of the structure on the big surface of the ground. No procedure is available, even in Google. A set of formulas with calculations has been made with the help of which one can draw an true and perfect ellipse of given length and width on the large ground very easily so as to start the construction work of elliptical structure. Based on these formulas a civil Engineering tool kit has been made with the help of which we can make perfect ellipse of desired dimensions on very large surface. The Patent of the tool kit has been filed in Intellectual Property India with Patent Filing Number: 201611026153 and Patent Application Filing Date: 30.07.2016. An App named ‘KC’s Mesh Formula’ has also been made to ease the calculation work. This can be downloaded from Play Store. After adopting these formulas and tool kit, a field engineer will not face difficulty in drawing ellipse on the ground to start the work.
Comparison of Manufacturing Data Analysis For 5 & 3-Axis Vertical Machining Center for the Time and Tool Benefits of Industries
Authors: P. Sundar Singh Sivam S. , Saravanan K. , Pradeep N. , Rajendra Kumar S. , Karuppiah Sathiyamoorthy
Published: November 2018

The dawn of globalization of business and competitiveness in manufacturing has forced firms to enhance their manufacturing facilities to reply to plug necessities. One of the crucial factors for this is often machine evaluation that involves a crucial decision using general and obscure information. The Primarily mass production aims high productivity so as to reduce cost and interchangeability to facilitate simple assembly which necessitates the production devices to increase the speed of manufacture. Across the business, the assembly challenges pivot around cutting lead times, increasing throughout and obtaining products to market as quickly as possible alongside some less challenging problems like shorter runs, higher product combine, tighter tolerances, a lot of complicated geometries in harder materials, and complete machining during a single handling. Advancements in technology have resulted in a creation of a lot of responsive tools referred to as MTM systems that are computer numerical Control (CNC) systems capable of acting a variety of operations with multiple tools and spindles in a single setup. The following project aims at reduction of manufacturing cost by modifying the process layout and operational parameters by novel approach for an identical element for 3 and 5- Axis Vertical Machining center. Nowadays, machining layout and operational sequence plays a significant role in automotive business to produce products at competitive price in market which consists of Machines, Tools, fixtures, computer interface, trained professionals and form of products. MAKINO PS60 is a Multi axis CNC machine (BRIDGE PORT), that helps to perform the machining operations on the roles at 5 totally different axes to create the required profiles whose implementation can pave means for a few terribly important benefits like, seven machines are replaced by Single machine, Man power are reduced from 9 to 3 per day, Tools usage reduced from 40 to 30 per day & production cost can reduce up to 60%.
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.
Kinetics and Thermodynamics of Adsorption Process Using A Spent-FCC Catalyst
Authors: Hussain Zakir , Kumar Rakesh , Meghavathu Deepa
Published: November 2018

Adsorption is potentially an attractive technique for the treatment of wastewater containing dyes. In the present work, spent fluid catalytic cracking catalyst (SFCC), a petroleum refinery waste was explored as a novel adsorbent and report its adsorption capability for the first time in the literature. Batch adsorption studies were carried out to remove methylene blue (MB) dye using SFCC. The equilibrium data was modeled using pseudo-first-order, pseudo-second-order, Elovich and intraparticle diffusion models. Also, the van’t Hoff equation was used to obtain the thermodynamic contributions of the process. Results show that the plot of intraparticle diffusion model (considering only film diffusion) has less R2 value (0.887); it seems that the plot is nonlinear. Hence, the data points were represented by a double linear set of equations (lines) considering both pore & film diffusion. In the first straight line, the sudden increase in slope signifies that the dye molecules were transported to the external surface of the adsorbent through film diffusion. The second straight line signifies that the dye molecules diffused through the pores. The portion which does not pass through the origin indicates that the pore diffusion is the only rate-determining step for the transport of MB onto SFCC.
Total Harmonic Modulation Distortion of an Injection-Locked Fabry-Perot Laser Diode Directly Modulated by a Multi-harmonic RF Signal
Authors: Chakraborty Meenakshi , Chattopadhyay Taraprasad
Published: November 2018

This paper describes effects of low-level light injection into a directly modulated Fabry-Perot laser diode on the external total harmonic modulation distortion when the external fundamental modulating signal is multi-harmonic contaminated. Necessary theory of the injected FPLD has been developed and an expression for total harmonic distortion of the modulating signal has been derived considering low-level light injection. The total harmonic modulation distortion has been experimentally measured for the RF modulation source and for the injection-locked slave FPLD output after photodetection.
Stress Analysis of Pelton Turbine Distributor Using UG-NX Software
Authors: Lal Pal Chaman , T.S. Desmukh Dr. , V.K.Gahlot Dr.
Published: November 2018

The main objective of this paper is analysis of stress in the distributor to find out optimum thickness for safe and satisfactory working at different load condition. To describe how different plate segments required fabricating wyes branches to ensure greater reliability. The distributor of Pelton turbine consists of pipe segments and wyes branches which are then connected to nozzle. A wyes branch, where the distributor bifurcates has a very complex shape and is very difficult to design. A practical case of distributor of 6 jets vertical Pelton turbine of 43 MW power has been carried but using UG-NX software.
A Comparison of Fatigue Life Improvement Methods for an Existing Offshore Jacket Platform Structure
Authors: Reghu Swethima , S Sruthy
Published: November 2018

Most offshore Jacket platforms are installed in shallow water, less than 300 meters for drilling and production of oil or gas. They are normally fixed to seabed and constructed as three dimensional frameworks with tubular members as structural elements. The surrounding environment around offshore platform is affected by various environmental loads that comprise of wind, waves, currents and earthquake. The major load in such structures is wave loading, repetitive in nature which causes time varying stresses that results global and or local fatigue damage on the offshore steel structure. This study includes fatigue assessment of a selected jacket structure using ANSYS software. This study concentrates mainly on the stress reduction at joints by various methods under the applied cyclic loading. The various methods considered in this study are providing: joint cans with branch stubs, grouted connections, FRP wrappings, stiffeners at the joint section. A comparison of various methods for reducing the hotspot stresses which increases fatigue life are studied and the most effective one is recommended.
Evaluation of Lacquered Tinplate Corrosion in Canned Food through Characterization by using SEM & EDS Technique
Authors: Dey Sourajyoti , Mahesh Kumar Agraw Dr.
Published: November 2018

Investigation of tinplate corrosion occurs in the interior of Cans containing food products due to electrochemical reactions. This changing the organoleptic properties of food stuff and produced toxicological problems. To investigate corrosion effect, lacquer adhesion failure of tinplate containers was evaluated with Scan Electron Microscope (SEM) along with Energy Dispersive X-ray spectroscopy (EDS) technique. This technique plays a vital role to investigate the reason of corrosion occurs in cans (container) like stress corrosion in the pack of fish and potatoes, pitting corrosion in the pack of light colored fruits and failure due to lacquer defects. Support of analytical methods may be also required to establish the failure.
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.
Viscous Dissipation and Dufour Effects on MHD Free Convection Flow Through an Oscillatory Inclined Porous Plate with Hall and Ion-Slip Current
Authors: V. B. Raja kumar K. , S. Balamurugan K. , V. Ramana Murthy Ch. , Ranganath N.
Published: November 2018

In this paper the viscous dissipation and Dufour effects on Unsteady MHD free convective flow through a semi-infinite Oscillatory porous inclined plate of time dependent permeability with Chemical reaction and Hall and Ion-Slip Current in a Rotating System was investigated. The dimensionless governing equations for this investigation are solved analytically by using multiple regular perturbation law. The effects of different parameters on velocity, temperature and concentration fields are shown graphically.
PAPR Reduction in MIMO-OFDM Using Modified PTS Scheme With Hybride ABC-FF Algorithem
Authors: Aruna Kumari K. , K. Sri Rama Krishna Dr.
Published: November 2018

Orthogonal Frequency Division Multiplexing (OFDM) is an admired method for high data rate wireless transmission. OFDM can be clubbed with antenna arrays at the transmitter and receiver to increase diversity gain to enhance the system capacity on time variant and frequency selective channels, resulting in (Multi input and Multi output)MIMO. One main flaw of MIMO-OFDM is that the signals transmitted on different antennas might exhibit a prohibitively large Peak-to-Average Power Ratio (PAPR). There are two techniques mainly used to mitigate the effect of PAPR namely Partial Transmit Sequence (PTS) and Selective Mapping (SLM). In this paper a new optimized Partial Transmit Sequence (PTS) scheme and SLM for PAPR reduction in MIMO-OFDM have been proposed. Both the techniques are connected in series to get efficient throughput. Hybrid of ABC–FF algorithm has been intended for optimal phase factor. The proposed technique has achieved better results than existing techniques. This intended technique has been implemented on the working platform of MATLAB.
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.
Fine Grained Access Control Policy with Advanced Encryption Standard in the Cloud Computing
Authors: Keerthi Chennam Krishna , Mudda Lakshmi
Published: November 2018

The Data Base as a Service is a great example where the database engine and storage devices are in cloud data. This scheme allows customers to outsource data and store in cloud database on pay per user, scalable and flexible. But data confidentiality is in high risk when data is outsourced and stored in third party database. A trusted third party server must be maintaining the third party data base. There is a possibility of malicious administrator who can leaks the data which is stored in third party database. The best method is to encrypt the data and store in third party database but alone encryption is not sufficient. Even authorization is another problem that who can access the data. For data security and authorized of users, the fine grained access control policy Cipher text policy Attribute Based encryption (CP-ABE) is used to give access to authorized users only and the best symmetric encryption Advanced Encryption Standard(AES) is applied on data before outsourcing the data in cloud.
A Future Perspective Survey on Bio-inspired algorithms based self-organization techniques for GA
Authors: Banda Santhoshini , Sri Lakshmi U. , Victer Paul P.
Published: November 2018

Genetic algorithms (GAs) are the most important evolutionary computation technique that is used to solve various complex problems that involve a large search space. To have a performance improvement over GA the concept of Hybrid genetic algorithms that were inspired by the biological behavior of different living beings was put to use to solve the NP-completeness problems. In this paper, a survey on the various recent working HGA with bio-inspired algorithms that exhibits self-organization behavior is performed. This paper discusses the various Biological self-organization behaviors and the generalized self-organization behaviors that are used to solve combinatorial optimization problems. This paper helps the scholars and researchers to have a better understanding on the bio-inspired based self-organization techniques for Genetic algorithm so that they can formulate new algorithms based on existing SO techniques.
Risk aware Access Control model for Trust Based collaborative organizations in cloud
Authors: Aluvalu Rajanikanth , Keerthi Chennam Krishna , A.Jabbar M. , Sarfaraz Ahamed Shaik
Published: November 2018

Secure interactions between collaborative organizations having their applications and data stored in “Cloud Computing” are a critical issue. Access control is the biggest challenge and trust is regarded as an essential secured relationship within a distributed system. Basic access control models, like Discretionary Access Control, Mandatory Access Control, and Role Based Access Control, cannot satisfy requirements in such environment, and need some improvements. During the collaboration, the attitude of the user may change. Therefore, in this context, adding trust management to an access control model is mandatory. To achieve this goal, in this paper, a new trust model to control access in the cloud is proposed. The aim is to monitor in real-time security for collaborative organizations, having decided to migrate to the cloud.
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.
A Crital Review of Islamic and Conventional Banking in Digital Era: A Case of Pakistan
Authors: Muzaffar Asad Dr. , Ahmad Israr , Hussain Haider Syed , Rabia Salman Dr.
Published: November 2018

Islamic banking is growing at a fast pace in economies which are considered as the champions of entrepreneurship and counter interest-based monetary system. Currently, Islamic banks have touched $1 trillion and is rising around at 20% yearly. However, this rapid growth is not limited to the Muslim countries but commodities of Islamic institutions are obtaining reputation in non-Muslim countries. The purpose of this study is to understand the main differences in Islamic and conventional banking in Pakistan on the basis of cost and benefit analysis, comparison of lending structure, and comparison of risk management especially in the context of current digital era. The methodology followed in the paper is based on the review of literature and particularly the banking practices in Pakistan. In this study, it has been analyzed that how a system made by Muslim economists long ago has become a powerful reality. This study inspects the upright addendum of Islamic banking and compare it to conventional banking. Effects of the inspection are positive as the productivity and success of Islamic banks is better than that of non-Islamic banks even in current digital economies. It is useful for the practitioners and policy makers to seek guidance for strengthening of the system.Â
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
Investigating Nano particles in Bioinformatic Analysis of the Brucella Genome for Indication and Differentation by qPCR
Authors: V. Khammadova Alfiya , I. Khammadov Nail , A. Kosarev Maksim , A. Osyanin Konstantin , A. Shuralev Eduard
Published: November 2018

Based on the identified genes, the design of specific primers and probes for qPCR was made, which makes it possible to differentiate B. melitensis and B. abortus in a single reaction. For the differentiation of Brucella strains of the same species, the PCR method of multilocus VNTR analysis, optimized for uniform temperature conditions, is described. In addition, MLVA profiles for B. abortus and B. melitensis genomes are presented. All methods of indication and differentiation of Brucella species and strains are described in detail, which allows them to be used in the everyday work of any PCR laboratory dealing with brucellosis. Control of amplification in the indication of bacteria of the genus Brucella and determination of their belonging to B. abortus and B. melitensis species is recommended to be carried out using the plasmid DNA designed in this work.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